{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/feedforward-network/papers/3","list_of":"/method/feedforward-network","method":"Feedforward Network","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":3,"pages_in_order":14,"rows_per_page":100,"rows":[201,300],"of":1339,"counts":{"archive_papers_tagged":1339,"with_a_code_link":683,"where_syntology_ran_a_sample":233,"not_listed_spam_title":0,"listed":1339,"listed_where_code_ran":233,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":204,"every_run_a_failure_of_syntologys_instrument":29,"listed_with_a_run_with_no_instrument_failure":204,"listed_every_run_a_failure_of_syntologys_instrument":29,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/feedforward-network","prev":"/method/feedforward-network/papers/2","next":"/method/feedforward-network/papers/4","papers":[{"paper":"/paper/generating-minimalist-adversarial","slug":"generating-minimalist-adversarial","title":"Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach","date":"2024-04-25","arxiv_id":"2404.17020","n_code_links":1,"syntology":null},{"paper":"/paper/additive-margin-in-contrastive-self","slug":"additive-margin-in-contrastive-self","title":"Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations","date":"2024-04-23","arxiv_id":"2404.14913","n_code_links":1,"syntology":null},{"paper":null,"slug":"science-written-by-generative-ai-is-perceived","title":"From Complexity to Clarity: How AI Enhances Perceptions of Scientists and the Public's Understanding of Science","date":"2024-04-23","arxiv_id":"2405.00706","n_code_links":0,"syntology":null},{"paper":"/paper/surgical-desam-decoupling-sam-for-instrument","slug":"surgical-desam-decoupling-sam-for-instrument","title":"Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery","date":"2024-04-22","arxiv_id":"2404.14040","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-nasal-cytology-dataset-for-object-detection","title":"A Nasal Cytology Dataset for Object Detection and Deep Learning","date":"2024-04-21","arxiv_id":"2404.13745","n_code_links":0,"syntology":null},{"paper":null,"slug":"mlsd-gan-generating-strong-high-quality-face","title":"MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement","date":"2024-04-19","arxiv_id":"2404.12679","n_code_links":0,"syntology":null},{"paper":"/paper/counterfactual-explanations-for-face-forgery","slug":"counterfactual-explanations-for-face-forgery","title":"Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts","date":"2024-04-12","arxiv_id":"2404.08341","n_code_links":1,"syntology":null},{"paper":"/paper/comparing-self-supervised-learning-techniques","slug":"comparing-self-supervised-learning-techniques","title":"Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition","date":"2024-04-08","arxiv_id":"2404.15331","n_code_links":1,"syntology":null},{"paper":"/paper/flightscope-a-deep-comprehensive-assessment","slug":"flightscope-a-deep-comprehensive-assessment","title":"FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery","date":"2024-04-03","arxiv_id":"2404.02877","n_code_links":1,"syntology":null},{"paper":"/paper/egtr-extracting-graph-from-transformer-for","slug":"egtr-extracting-graph-from-transformer-for","title":"EGTR: Extracting Graph from Transformer for Scene Graph Generation","date":"2024-04-02","arxiv_id":"2404.02072","n_code_links":1,"syntology":{"ran":16,"of":17,"n_ran_checked":12,"n_instrument":4,"unverified":1,"pointer_only":4,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["naver-ai/egtr"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"multi-level-label-correction-by-distilling","title":"Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation","date":"2024-04-02","arxiv_id":"2404.02065","n_code_links":0,"syntology":null},{"paper":"/paper/hairfastgan-realistic-and-robust-hair","slug":"hairfastgan-realistic-and-robust-hair","title":"HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach","date":"2024-04-01","arxiv_id":"2404.01094","n_code_links":1,"syntology":null},{"paper":"/paper/a-general-and-efficient-training-for","slug":"a-general-and-efficient-training-for","title":"A General and Efficient Training for Transformer via Token Expansion","date":"2024-03-31","arxiv_id":"2404.00672","n_code_links":1,"syntology":{"ran":7,"of":8,"n_ran_checked":3,"n_instrument":4,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["osilly/tokenexpansion"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":1,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/dual-detrs-for-multi-label-temporal-action","slug":"dual-detrs-for-multi-label-temporal-action","title":"Dual DETRs for Multi-Label Temporal Action Detection","date":"2024-03-31","arxiv_id":"2404.00653","n_code_links":0,"syntology":null},{"paper":"/paper/evolving-semantic-communication-with","slug":"evolving-semantic-communication-with","title":"Evolving Semantic Communication with Generative Model","date":"2024-03-29","arxiv_id":"2403.20237","n_code_links":1,"syntology":null},{"paper":"/paper/egoposeformer-a-simple-baseline-for","slug":"egoposeformer-a-simple-baseline-for","title":"EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation","date":"2024-03-26","arxiv_id":"2403.18080","n_code_links":1,"syntology":null},{"paper":"/paper/salience-detr-enhancing-detection-transformer-1","slug":"salience-detr-enhancing-detection-transformer-1","title":"Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement","date":"2024-03-24","arxiv_id":"2403.16131","n_code_links":3,"syntology":{"ran":11,"of":23,"n_ran_checked":8,"n_instrument":3,"unverified":12,"pointer_only":0,"phrase":"11 ran (of which 6 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 12 unverified","official":{"repos":["xiuqhou/Salience-DETR"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":7,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/an-upload-efficient-scheme-for-transferring","slug":"an-upload-efficient-scheme-for-transferring","title":"An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning","date":"2024-03-23","arxiv_id":"2403.15760","n_code_links":1,"syntology":{"ran":11,"of":18,"n_ran_checked":7,"n_instrument":4,"unverified":7,"pointer_only":0,"phrase":"11 ran (of which 1 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 4 where Syntology's instrument failed) · 7 unverified","official":{"repos":["tsingz0/fedktl"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":1,"n_ran_no_instrument_failure":7,"n_unverified":7,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"codeshell-technical-report","title":"CodeShell Technical Report","date":"2024-03-23","arxiv_id":"2403.15747","n_code_links":0,"syntology":null},{"paper":null,"slug":"semi-quantitative-analysis-and","title":"Semi-Quantitative Analysis and Seroepidemiological Evidence of Past Dengue Virus Infection among HIV-infected patients in Onitsha, Anambra State, Nigeria","date":"2024-03-23","arxiv_id":"2403.15685","n_code_links":0,"syntology":null},{"paper":null,"slug":"cell-variational-information-bottleneck","title":"Cell Variational Information Bottleneck Network","date":"2024-03-22","arxiv_id":"2403.15082","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-backbone-framework-for","title":"Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks","date":"2024-03-22","arxiv_id":"2403.15248","n_code_links":0,"syntology":null},{"paper":null,"slug":"vehicle-detection-performance-in-nordic","title":"Vehicle Detection Performance in Nordic Region","date":"2024-03-22","arxiv_id":"2403.15017","n_code_links":0,"syntology":null},{"paper":null,"slug":"dourn-improving-douzero-by-residual-neural","title":"DouRN: Improving DouZero by Residual Neural Networks","date":"2024-03-21","arxiv_id":"2403.14102","n_code_links":0,"syntology":null},{"paper":"/paper/explaining-deep-learning-models-for-ozone","slug":"explaining-deep-learning-models-for-ozone","title":"Explaining deep learning models for ozone pollution prediction via embedded feature selection","date":"2024-03-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"ldtr-transformer-based-lane-detection-with","title":"LDTR: Transformer-based Lane Detection with Anchor-chain Representation","date":"2024-03-21","arxiv_id":"2403.14354","n_code_links":0,"syntology":null},{"paper":"/paper/stylecinegan-landscape-cinemagraph-generation","slug":"stylecinegan-landscape-cinemagraph-generation","title":"StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN","date":"2024-03-21","arxiv_id":"2403.14186","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":4,"n_instrument":1,"unverified":4,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["jeolpyeoni/StyleCineGAN"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/diversity-aware-channel-pruning-for-stylegan","slug":"diversity-aware-channel-pruning-for-stylegan","title":"Diversity-aware Channel Pruning for StyleGAN Compression","date":"2024-03-20","arxiv_id":"2403.13548","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["jiwoogit/dcp-gan"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"vi-mistral-x-building-a-vietnamese-language","title":"Vi-Mistral-X: Building a Vietnamese Language Model with Advanced Continual Pre-training","date":"2024-03-20","arxiv_id":"2403.15470","n_code_links":0,"syntology":null},{"paper":"/paper/do-generated-data-always-help-contrastive","slug":"do-generated-data-always-help-contrastive","title":"Do Generated Data Always Help Contrastive Learning?","date":"2024-03-19","arxiv_id":"2403.12448","n_code_links":1,"syntology":{"ran":6,"of":7,"n_ran_checked":5,"n_instrument":1,"unverified":1,"pointer_only":7,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["pku-ml/adainf"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/arc2face-a-foundation-model-of-human-faces","slug":"arc2face-a-foundation-model-of-human-faces","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","date":"2024-03-18","arxiv_id":"2403.11641","n_code_links":3,"syntology":{"ran":1,"of":4,"n_ran_checked":1,"n_instrument":0,"unverified":3,"pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["huggingface.co/FoivosPar/Arc2Face"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":"/paper/e2f-net-eyes-to-face-inpainting-via-stylegan","slug":"e2f-net-eyes-to-face-inpainting-via-stylegan","title":"E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space","date":"2024-03-18","arxiv_id":"2403.12197","n_code_links":2,"syntology":null},{"paper":"/paper/stylized-face-sketch-extraction-via","slug":"stylized-face-sketch-extraction-via","title":"Stylized Face Sketch Extraction via Generative Prior with Limited Data","date":"2024-03-17","arxiv_id":"2403.11263","n_code_links":1,"syntology":null},{"paper":"/paper/generative-region-language-pretraining-for","slug":"generative-region-language-pretraining-for","title":"Generative Region-Language Pretraining for Open-Ended Object Detection","date":"2024-03-15","arxiv_id":"2403.10191","n_code_links":1,"syntology":{"ran":8,"of":11,"n_ran_checked":6,"n_instrument":2,"unverified":3,"pointer_only":4,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["foundationvision/generateu"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":"/paper/dynamic-memory-compression-retrofitting-llms","slug":"dynamic-memory-compression-retrofitting-llms","title":"Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference","date":"2024-03-14","arxiv_id":"2403.09636","n_code_links":1,"syntology":null},{"paper":"/paper/car-damage-detection-and-patch-to-patch-self","slug":"car-damage-detection-and-patch-to-patch-self","title":"Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment","date":"2024-03-11","arxiv_id":"2403.06674","n_code_links":1,"syntology":{"ran":10,"of":13,"n_ran_checked":10,"n_instrument":0,"unverified":3,"pointer_only":13,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["2000222/car-damage-detectionv0"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"how-to-handle-sketch-abstraction-in-sketch","title":"How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?","date":"2024-03-11","arxiv_id":"2403.07203","n_code_links":0,"syntology":null},{"paper":null,"slug":"style2talker-high-resolution-talking-head","title":"Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style","date":"2024-03-11","arxiv_id":"2403.06365","n_code_links":0,"syntology":null},{"paper":null,"slug":"linearly-constrained-weights-reducing","title":"Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks","date":"2024-03-08","arxiv_id":"2403.13833","n_code_links":0,"syntology":null},{"paper":null,"slug":"poly-view-contrastive-learning","title":"Poly-View Contrastive Learning","date":"2024-03-08","arxiv_id":"2403.05490","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-multiple-instance-learning","title":"Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification","date":"2024-03-08","arxiv_id":"2403.05379","n_code_links":0,"syntology":null},{"paper":"/paper/ao-detr-anti-overlapping-detr-for-x-ray","slug":"ao-detr-anti-overlapping-detr-for-x-ray","title":"AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection","date":"2024-03-07","arxiv_id":"2403.04309","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-price-prediction-in-cryptocurrency","title":"Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators","date":"2024-03-06","arxiv_id":"2403.03606","n_code_links":0,"syntology":null},{"paper":null,"slug":"multimodal-transformer-for-comics-text-cloze","title":"Multimodal Transformer for Comics Text-Cloze","date":"2024-03-06","arxiv_id":"2403.03719","n_code_links":0,"syntology":null},{"paper":null,"slug":"toward-neuromic-computing-neurons-as","title":"Toward Neuromic Computing: Neurons as Autoencoders","date":"2024-03-04","arxiv_id":"2403.02331","n_code_links":0,"syntology":null},{"paper":null,"slug":"ela-efficient-local-attention-for-deep","title":"ELA: Efficient Local Attention for Deep Convolutional Neural Networks","date":"2024-03-02","arxiv_id":"2403.01123","n_code_links":0,"syntology":null},{"paper":"/paper/dams-detr-dynamic-adaptive-multispectral","slug":"dams-detr-dynamic-adaptive-multispectral","title":"DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion","date":"2024-03-01","arxiv_id":"2403.00326","n_code_links":2,"syntology":{"ran":9,"of":11,"n_ran_checked":9,"n_instrument":0,"unverified":2,"pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["gjj45/dams-detr","gjj45/damsdet"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/deformable-one-shot-face-stylization-via-dino","slug":"deformable-one-shot-face-stylization-via-dino","title":"Deformable One-shot Face Stylization via DINO Semantic Guidance","date":"2024-03-01","arxiv_id":"2403.00459","n_code_links":1,"syntology":null},{"paper":null,"slug":"ean-mapnet-efficient-vectorized-hd-map","title":"EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods","date":"2024-02-28","arxiv_id":"2402.18278","n_code_links":0,"syntology":null},{"paper":"/paper/deyo-detr-with-yolo-for-end-to-end-object","slug":"deyo-detr-with-yolo-for-end-to-end-object","title":"DEYO: DETR with YOLO for End-to-End Object Detection","date":"2024-02-26","arxiv_id":"2402.16370","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ouyanghaodong/deyo"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/mobilellm-optimizing-sub-billion-parameter","slug":"mobilellm-optimizing-sub-billion-parameter","title":"MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases","date":"2024-02-22","arxiv_id":"2402.14905","n_code_links":4,"syntology":{"ran":11,"of":28,"n_ran_checked":10,"n_instrument":1,"unverified":17,"pointer_only":20,"phrase":"11 ran (of which 6 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 17 unverified","official":{"repos":["facebookresearch/mobilellm"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":3,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"overcoming-dimensional-collapse-in-self","title":"Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation","date":"2024-02-22","arxiv_id":"2402.14611","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-visualisation-of-medical","slug":"self-supervised-visualisation-of-medical","title":"Self-supervised Visualisation of Medical Image Datasets","date":"2024-02-22","arxiv_id":"2402.14566","n_code_links":1,"syntology":null},{"paper":"/paper/the-common-stability-mechanism-behind-most","slug":"the-common-stability-mechanism-behind-most","title":"The Common Stability Mechanism behind most Self-Supervised Learning Approaches","date":"2024-02-22","arxiv_id":"2402.14957","n_code_links":1,"syntology":null},{"paper":"/paper/real-time-3d-aware-portrait-editing-from-a","slug":"real-time-3d-aware-portrait-editing-from-a","title":"Real-time 3D-aware Portrait Editing from a Single Image","date":"2024-02-21","arxiv_id":"2402.14000","n_code_links":1,"syntology":null},{"paper":"/paper/avoiding-feature-suppression-in-contrastive","slug":"avoiding-feature-suppression-in-contrastive","title":"Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning","date":"2024-02-19","arxiv_id":"2402.11816","n_code_links":1,"syntology":null},{"paper":"/paper/clustertabnet-supervised-clustering-method","slug":"clustertabnet-supervised-clustering-method","title":"ClusterTabNet: Supervised clustering method for table detection and table structure recognition","date":"2024-02-12","arxiv_id":"2402.07502","n_code_links":1,"syntology":{"ran":16,"of":16,"n_ran_checked":13,"n_instrument":3,"unverified":0,"pointer_only":4,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 1 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["sap-samples/clustertabnet"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"cochceps-augment-a-novel-self-supervised","title":"CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion Recognition","date":"2024-02-10","arxiv_id":"2402.06923","n_code_links":0,"syntology":null},{"paper":null,"slug":"ctgan-semantic-guided-conditional-texture","title":"CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes","date":"2024-02-08","arxiv_id":"2402.05728","n_code_links":0,"syntology":null},{"paper":null,"slug":"minecraft-ify-minecraft-style-image","title":"Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application","date":"2024-02-08","arxiv_id":"2402.05448","n_code_links":0,"syntology":null},{"paper":null,"slug":"detection-transformer-for-teeth-detection","title":"Detection Transformer for Teeth Detection, Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques","date":"2024-02-06","arxiv_id":"2402.04408","n_code_links":0,"syntology":null},{"paper":"/paper/a-probabilistic-model-to-explain-self","slug":"a-probabilistic-model-to-explain-self","title":"A Probabilistic Model Behind Self-Supervised Learning","date":"2024-02-02","arxiv_id":"2402.01399","n_code_links":1,"syntology":{"ran":9,"of":10,"n_ran_checked":7,"n_instrument":2,"unverified":1,"pointer_only":10,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["alicebizeul/simvae"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"approximating-optimal-morphing-attacks-using","title":"Approximating Optimal Morphing Attacks using Template Inversion","date":"2024-02-01","arxiv_id":"2402.00695","n_code_links":0,"syntology":null},{"paper":"/paper/emo-avatar-efficient-monocular-video-style","slug":"emo-avatar-efficient-monocular-video-style","title":"GaussianStyle: Gaussian Head Avatar via StyleGAN","date":"2024-02-01","arxiv_id":"2402.00827","n_code_links":1,"syntology":null},{"paper":"/paper/double-infogan-for-contrastive-analysis","slug":"double-infogan-for-contrastive-analysis","title":"Double InfoGAN for Contrastive Analysis","date":"2024-01-31","arxiv_id":"2401.17776","n_code_links":1,"syntology":null},{"paper":"/paper/optimizing-contrastive-learning-for-cortical","slug":"optimizing-contrastive-learning-for-cortical","title":"Optimizing contrastive learning for cortical folding pattern detection","date":"2024-01-31","arxiv_id":"2401.18035","n_code_links":1,"syntology":null},{"paper":null,"slug":"mptq-vit-mixed-precisionpost","title":"MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer","date":"2024-01-26","arxiv_id":"2401.14895","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-and-recognizing-characters-in-greek","title":"Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR","date":"2024-01-23","arxiv_id":"2401.12513","n_code_links":0,"syntology":null},{"paper":null,"slug":"unihda-towards-universal-hybrid-domain","title":"UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation","date":"2024-01-23","arxiv_id":"2401.12596","n_code_links":0,"syntology":null},{"paper":null,"slug":"lrp-qvit-mixed-precision-vision-transformer","title":"LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation","date":"2024-01-20","arxiv_id":"2401.11243","n_code_links":0,"syntology":null},{"paper":null,"slug":"edit-one-for-all-interactive-batch-image","title":"Edit One for All: Interactive Batch Image Editing","date":"2024-01-18","arxiv_id":"2401.10219","n_code_links":0,"syntology":null},{"paper":"/paper/vision-mamba-efficient-visual-representation","slug":"vision-mamba-efficient-visual-representation","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","date":"2024-01-17","arxiv_id":"2401.09417","n_code_links":15,"syntology":{"ran":8,"of":13,"n_ran_checked":7,"n_instrument":1,"unverified":5,"pointer_only":2,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","official":{"repos":["hustvl/vim"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"paper":null,"slug":"enhancing-contrastive-learning-with-efficient","title":"Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing","date":"2024-01-11","arxiv_id":"2401.05730","n_code_links":0,"syntology":null},{"paper":"/paper/automated-detection-of-myopic-maculopathy-in","slug":"automated-detection-of-myopic-maculopathy-in","title":"Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction","date":"2024-01-08","arxiv_id":"2401.03615","n_code_links":1,"syntology":null},{"paper":"/paper/ms-detr-efficient-detr-training-with-mixed","slug":"ms-detr-efficient-detr-training-with-mixed","title":"MS-DETR: Efficient DETR Training with Mixed Supervision","date":"2024-01-08","arxiv_id":"2401.03989","n_code_links":1,"syntology":{"ran":8,"of":9,"n_ran_checked":6,"n_instrument":2,"unverified":1,"pointer_only":3,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 1 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["atten4vis/ms-detr"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/tr-detr-task-reciprocal-transformer-for-joint","slug":"tr-detr-task-reciprocal-transformer-for-joint","title":"TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection","date":"2024-01-04","arxiv_id":"2401.02309","n_code_links":1,"syntology":{"ran":13,"of":17,"n_ran_checked":12,"n_instrument":1,"unverified":4,"pointer_only":17,"phrase":"13 ran (of which 5 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 1 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["mingyao1120/tr-detr"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":5,"n_ran_no_instrument_failure":12,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/gps-ssl-guided-positive-sampling-to-inject","slug":"gps-ssl-guided-positive-sampling-to-inject","title":"GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning","date":"2024-01-03","arxiv_id":"2401.01990","n_code_links":1,"syntology":null},{"paper":null,"slug":"token-propagation-controller-for-efficient","title":"TPC-ViT: Token Propagation Controller for Efficient Vision Transformer","date":"2024-01-03","arxiv_id":"2401.01470","n_code_links":0,"syntology":null},{"paper":"/paper/1st-place-solution-for-5th-lsvos-challenge","slug":"1st-place-solution-for-5th-lsvos-challenge","title":"1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation","date":"2024-01-01","arxiv_id":"2401.00663","n_code_links":1,"syntology":null},{"paper":"/paper/accurate-leukocyte-detection-based-on","slug":"accurate-leukocyte-detection-based-on","title":"Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases","date":"2024-01-01","arxiv_id":"2401.00926","n_code_links":1,"syntology":null},{"paper":"/paper/easydrag-efficient-point-based-manipulation","slug":"easydrag-efficient-point-based-manipulation","title":"EasyDrag: Efficient Point-based Manipulation on Diffusion Models","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/hybrid-proposal-refiner-revisiting-detr","slug":"hybrid-proposal-refiner-revisiting-detr","title":"Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"kd-detr-knowledge-distillation-for-detection","title":"KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/pairdetr-joint-detection-and-association-of","slug":"pairdetr-joint-detection-and-association-of","title":"PairDETR : Joint Detection and Association of Human Bodies and Faces","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"stylitgan-image-based-relighting-via-latent","title":"StyLitGAN: Image-Based Relighting via Latent Control","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"text-conditional-attribute-alignment-across","title":"Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis","date":"2024-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/when-stylegan-meets-stable-diffusion-a-w","slug":"when-stylegan-meets-stable-diffusion-a-w","title":"When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation","date":"2024-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"is-it-possible-to-backdoor-face-forgery","title":"Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?","date":"2023-12-31","arxiv_id":"2401.00414","n_code_links":0,"syntology":null},{"paper":null,"slug":"gan-ga-a-generative-model-based-on-genetic","title":"GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation","date":"2023-12-30","arxiv_id":"2401.00314","n_code_links":0,"syntology":null},{"paper":"/paper/multiscale-vision-transformers-meet-bipartite","slug":"multiscale-vision-transformers-meet-bipartite","title":"Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization","date":"2023-12-29","arxiv_id":"2312.17686","n_code_links":1,"syntology":null},{"paper":null,"slug":"roi-aware-multiscale-cross-attention-vision","title":"ROI-Aware Multiscale Cross-Attention Vision Transformer for Pest Image Identification","date":"2023-12-28","arxiv_id":"2312.16914","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-self-supervised-stylegan-for-image","title":"A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels","date":"2023-12-26","arxiv_id":"2312.15972","n_code_links":0,"syntology":null},{"paper":null,"slug":"scalable-face-image-coding-via-stylegan-prior","title":"Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision","date":"2023-12-25","arxiv_id":"2312.15622","n_code_links":0,"syntology":null},{"paper":null,"slug":"context-enhanced-transformer-for-single-image","title":"Context Enhanced Transformer for Single Image Object Detection","date":"2023-12-22","arxiv_id":"2312.14492","n_code_links":0,"syntology":null},{"paper":null,"slug":"styleretoucher-generalized-portrait-image","title":"StyleRetoucher: Generalized Portrait Image Retouching with GAN Priors","date":"2023-12-22","arxiv_id":"2312.14389","n_code_links":0,"syntology":null},{"paper":null,"slug":"synthetic-images-aid-the-recognition-of-human","title":"Synthetic images aid the recognition of human-made art forgeries","date":"2023-12-22","arxiv_id":"2312.14998","n_code_links":0,"syntology":null},{"paper":"/paper/deco-query-based-end-to-end-object-detection","slug":"deco-query-based-end-to-end-object-detection","title":"DECO: Query-Based End-to-End Object Detection with ConvNets","date":"2023-12-21","arxiv_id":"2312.13735","n_code_links":3,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["xinghaochen/DECO","mindspore-lab/models"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"headcraft-modeling-high-detail-shape","title":"HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs","date":"2023-12-21","arxiv_id":"2312.14140","n_code_links":0,"syntology":null},{"paper":"/paper/large-language-models-play-starcraft-ii","slug":"large-language-models-play-starcraft-ii","title":"Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach","date":"2023-12-19","arxiv_id":"2312.11865","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":0,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["histmeisah/large-language-models-play-starcraftii"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"time-series-contrastive-learning-against","title":"Time-Series Contrastive Learning against False Negatives and Class Imbalance","date":"2023-12-19","arxiv_id":"2312.11939","n_code_links":0,"syntology":null}],"record_sha256":"5a92271286a6da7c0acdb192d2b5219e001498a1168010ab3f01e93a272ba19b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}