{"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/convolution/papers/30","list_of":"/method/convolution","method":"Convolution","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":30,"pages_in_order":196,"rows_per_page":100,"rows":[2901,3000],"of":19586,"counts":{"archive_papers_tagged":19586,"with_a_code_link":8064,"where_syntology_ran_a_sample":1837,"not_listed_spam_title":0,"listed":19586,"listed_where_code_ran":1837,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1557,"every_run_a_failure_of_syntologys_instrument":280,"listed_with_a_run_with_no_instrument_failure":1557,"listed_every_run_a_failure_of_syntologys_instrument":280,"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/convolution","prev":"/method/convolution/papers/29","next":"/method/convolution/papers/31","papers":[{"paper":null,"slug":"leveraging-the-interplay-between-syntactic","title":"Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation","date":"2024-04-03","arxiv_id":"2404.02592","n_code_links":0,"syntology":null},{"paper":"/paper/meshbrush-painting-the-anatomical-mesh-with","slug":"meshbrush-painting-the-anatomical-mesh-with","title":"MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy","date":"2024-04-03","arxiv_id":"2404.02999","n_code_links":1,"syntology":null},{"paper":null,"slug":"multi-scale-spatial-temporal-self-attention","title":"Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition","date":"2024-04-03","arxiv_id":"2404.02624","n_code_links":0,"syntology":null},{"paper":"/paper/rs-mamba-for-large-remote-sensing-image-dense","slug":"rs-mamba-for-large-remote-sensing-image-dense","title":"RS-Mamba for Large Remote Sensing Image Dense Prediction","date":"2024-04-03","arxiv_id":"2404.02668","n_code_links":1,"syntology":{"ran":4,"of":6,"n_ran_checked":4,"n_instrument":0,"unverified":2,"pointer_only":6,"phrase":"4 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; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["walking-shadow/Official_Remote_Sensing_Mamba"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"steganographic-passport-an-owner-and-user","title":"Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining","date":"2024-04-03","arxiv_id":"2404.02889","n_code_links":0,"syntology":null},{"paper":"/paper/vestibular-schwannoma-growth-prediction-from","slug":"vestibular-schwannoma-growth-prediction-from","title":"Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields","date":"2024-04-03","arxiv_id":"2404.02614","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-ct-image-denoising-method-with-residual","title":"A CT Image Denoising Method with Residual Encoder-Decoder Network","date":"2024-04-02","arxiv_id":"2404.01553","n_code_links":0,"syntology":null},{"paper":"/paper/breaking-the-silence-detecting-and-mitigating","slug":"breaking-the-silence-detecting-and-mitigating","title":"Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces","date":"2024-04-02","arxiv_id":"2404.02013","n_code_links":1,"syntology":null},{"paper":null,"slug":"dsgnn-a-dual-view-supergrid-aware-graph","title":"DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation","date":"2024-04-02","arxiv_id":"2404.01975","n_code_links":0,"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":"lr-fpn-enhancing-remote-sensing-object","title":"LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network","date":"2024-04-02","arxiv_id":"2404.01614","n_code_links":0,"syntology":null},{"paper":null,"slug":"resnet-with-integrated-convolutional-block","title":"Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance","date":"2024-04-02","arxiv_id":"2404.02135","n_code_links":0,"syntology":null},{"paper":null,"slug":"tuning-for-the-unknown-revisiting-evaluation","title":"K-percent Evaluation for Lifelong RL","date":"2024-04-02","arxiv_id":"2404.02113","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-audio-representation-for-music-genre","title":"A Novel Audio Representation for Music Genre Identification in MIR","date":"2024-04-01","arxiv_id":"2404.01058","n_code_links":0,"syntology":null},{"paper":"/paper/can-biases-in-imagenet-models-explain","slug":"can-biases-in-imagenet-models-explain","title":"Can Biases in ImageNet Models Explain Generalization?","date":"2024-04-01","arxiv_id":"2404.01509","n_code_links":1,"syntology":{"ran":6,"of":9,"n_ran_checked":6,"n_instrument":0,"unverified":3,"pointer_only":9,"phrase":"6 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; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["paulgavrikov/biases_vs_generalization"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"diagnosis-of-skin-cancer-using-vgg16-and","title":"Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models","date":"2024-04-01","arxiv_id":"2404.01160","n_code_links":0,"syntology":null},{"paper":"/paper/dpmesh-exploiting-diffusion-prior-for","slug":"dpmesh-exploiting-diffusion-prior-for","title":"DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery","date":"2024-04-01","arxiv_id":"2404.01424","n_code_links":1,"syntology":null},{"paper":"/paper/drag-your-noise-interactive-point-based","slug":"drag-your-noise-interactive-point-based","title":"Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation","date":"2024-04-01","arxiv_id":"2404.01050","n_code_links":1,"syntology":{"ran":12,"of":17,"n_ran_checked":8,"n_instrument":4,"unverified":5,"pointer_only":17,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 4 where Syntology's instrument failed) · 5 unverified","official":{"repos":["haofengl/dragnoise"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"drive-dual-gradient-based-rapid-iterative","title":"DRIVE: Dual Gradient-Based Rapid Iterative Pruning","date":"2024-04-01","arxiv_id":"2404.03687","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":null,"slug":"medical-visual-prompting-mvp-a-unified","title":"Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation","date":"2024-04-01","arxiv_id":"2404.01127","n_code_links":0,"syntology":null},{"paper":null,"slug":"s2rc-gcn-a-spatial-spectral-reliable","title":"S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images","date":"2024-04-01","arxiv_id":"2404.00964","n_code_links":0,"syntology":null},{"paper":"/paper/the-state-of-the-art-in-cardiac-mri","slug":"the-state-of-the-art-in-cardiac-mri","title":"The state-of-the-art in Cardiac MRI Reconstruction: Results of the CMRxRecon Challenge in MICCAI 2023","date":"2024-04-01","arxiv_id":"2404.01082","n_code_links":1,"syntology":null},{"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":null,"slug":"heteromile-a-multi-level-graph-representation","title":"HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs","date":"2024-03-31","arxiv_id":"2404.00816","n_code_links":0,"syntology":null},{"paper":"/paper/parameter-and-data-efficient-spectral","slug":"parameter-and-data-efficient-spectral","title":"Parameter and Data-Efficient Spectral StyleDCGAN","date":"2024-03-31","arxiv_id":"2404.00597","n_code_links":1,"syntology":null},{"paper":null,"slug":"spiralmlp-a-lightweight-vision-mlp","title":"SpiralMLP: A Lightweight Vision MLP Architecture","date":"2024-03-31","arxiv_id":"2404.00648","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-feature-map-enhancement-technique","title":"A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis","date":"2024-03-30","arxiv_id":"2405.12986","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-unified-framework-for-adaptive","title":"A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation","date":"2024-03-30","arxiv_id":"2404.00268","n_code_links":0,"syntology":null},{"paper":"/paper/grid-diffusion-models-for-text-to-video-1","slug":"grid-diffusion-models-for-text-to-video-1","title":"Grid Diffusion Models for Text-to-Video Generation","date":"2024-03-30","arxiv_id":"2404.00234","n_code_links":0,"syntology":null},{"paper":null,"slug":"spread-your-wings-a-radial-strip-transformer","title":"Spread Your Wings: A Radial Strip Transformer for Image Deblurring","date":"2024-03-30","arxiv_id":"2404.00358","n_code_links":0,"syntology":null},{"paper":"/paper/svgcraft-beyond-single-object-text-to-svg","slug":"svgcraft-beyond-single-object-text-to-svg","title":"SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive Canvas Layout","date":"2024-03-30","arxiv_id":"2404.00412","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":6,"n_instrument":0,"unverified":2,"pointer_only":8,"phrase":"6 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; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ayanban011/svgcraft"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-parallel-attention-network-for-cattle-face","title":"A Parallel Attention Network for Cattle Face Recognition","date":"2024-03-29","arxiv_id":"2403.19980","n_code_links":0,"syntology":null},{"paper":"/paper/automated-identification-and-segmentation-of","slug":"automated-identification-and-segmentation-of","title":"Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method","date":"2024-03-29","arxiv_id":"2403.19912","n_code_links":1,"syntology":null},{"paper":null,"slug":"convolutional-prompting-meets-language-models","title":"Convolutional Prompting meets Language Models for Continual Learning","date":"2024-03-29","arxiv_id":"2403.20317","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/explainable-deep-learning-a-visual-analytics","slug":"explainable-deep-learning-a-visual-analytics","title":"Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices","date":"2024-03-29","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"homomorphic-wisards-efficient-weightless","title":"Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data","date":"2024-03-29","arxiv_id":"2403.20190","n_code_links":0,"syntology":null},{"paper":"/paper/talk3d-high-fidelity-talking-portrait","slug":"talk3d-high-fidelity-talking-portrait","title":"Talk3D: High-Fidelity Talking Portrait Synthesis via Personalized 3D Generative Prior","date":"2024-03-29","arxiv_id":"2403.20153","n_code_links":1,"syntology":null},{"paper":null,"slug":"tdanet-a-novel-temporal-denoise-convolutional","title":"TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis","date":"2024-03-29","arxiv_id":"2403.19943","n_code_links":0,"syntology":null},{"paper":null,"slug":"boosting-cardiac-color-doppler-frame-rates","title":"Boosting Cardiac Color Doppler Frame Rates with Deep Learning","date":"2024-03-28","arxiv_id":"2404.00067","n_code_links":0,"syntology":null},{"paper":null,"slug":"code-comparison-tuning-for-code-large","title":"Code Comparison Tuning for Code Large Language Models","date":"2024-03-28","arxiv_id":"2403.19121","n_code_links":0,"syntology":null},{"paper":null,"slug":"gaussiancube-structuring-gaussian-splatting","title":"GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling","date":"2024-03-28","arxiv_id":"2403.19655","n_code_links":0,"syntology":null},{"paper":"/paper/gegenbauer-graph-neural-networks-for-time","slug":"gegenbauer-graph-neural-networks-for-time","title":"Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction","date":"2024-03-28","arxiv_id":"2403.19800","n_code_links":1,"syntology":null},{"paper":null,"slug":"ilpo-net-network-for-the-invariant","title":"ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D","date":"2024-03-28","arxiv_id":"2403.19612","n_code_links":0,"syntology":null},{"paper":"/paper/infrared-small-target-detection-with-scale","slug":"infrared-small-target-detection-with-scale","title":"Infrared Small Target Detection with Scale and Location Sensitivity","date":"2024-03-28","arxiv_id":"2403.19366","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":4,"n_instrument":1,"unverified":2,"pointer_only":7,"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) · 2 unverified","official":{"repos":["ying-fu/mshnet"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"instruction-based-hypergraph-pretraining","title":"Instruction-based Hypergraph Pretraining","date":"2024-03-28","arxiv_id":"2403.19063","n_code_links":0,"syntology":null},{"paper":"/paper/poco-a-self-supervised-approach-via-polar","slug":"poco-a-self-supervised-approach-via-polar","title":"PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis","date":"2024-03-28","arxiv_id":"2403.19124","n_code_links":1,"syntology":null},{"paper":"/paper/sinenet-learning-temporal-dynamics-in-time","slug":"sinenet-learning-temporal-dynamics-in-time","title":"SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations","date":"2024-03-28","arxiv_id":"2403.19507","n_code_links":1,"syntology":null},{"paper":"/paper/taming-lookup-tables-for-efficient-image","slug":"taming-lookup-tables-for-efficient-image","title":"Taming Lookup Tables for Efficient Image Retouching","date":"2024-03-28","arxiv_id":"2403.19238","n_code_links":1,"syntology":null},{"paper":null,"slug":"the-bad-batches-enhancing-self-supervised","title":"The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation","date":"2024-03-28","arxiv_id":"2403.19579","n_code_links":0,"syntology":null},{"paper":null,"slug":"topological-cycle-graph-attention-network-for","title":"Topological Cycle Graph Attention Network for Brain Functional Connectivity","date":"2024-03-28","arxiv_id":"2403.19149","n_code_links":0,"syntology":null},{"paper":"/paper/cobos-constraint-based-online-scheduler-for","slug":"cobos-constraint-based-online-scheduler-for","title":"CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration","date":"2024-03-27","arxiv_id":"2403.18459","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-learning-segmentation-and-classification","title":"Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset","date":"2024-03-27","arxiv_id":"2403.18468","n_code_links":0,"syntology":null},{"paper":"/paper/hemit-h-e-to-multiplex-immunohistochemistry","slug":"hemit-h-e-to-multiplex-immunohistochemistry","title":"HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator","date":"2024-03-27","arxiv_id":"2403.18501","n_code_links":1,"syntology":null},{"paper":"/paper/imagenet-d-benchmarking-neural-network","slug":"imagenet-d-benchmarking-neural-network","title":"ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object","date":"2024-03-27","arxiv_id":"2403.18775","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":3,"n_instrument":2,"unverified":1,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","official":{"repos":["chenshuang-zhang/imagenet_d"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"inceptiontime-vs-wavelet-a-comparison-for","title":"InceptionTime vs. Wavelet -- A comparison for time series classification","date":"2024-03-27","arxiv_id":"2403.18687","n_code_links":0,"syntology":null},{"paper":null,"slug":"sgdm-static-guided-dynamic-module-make","title":"SGDM: Static-Guided Dynamic Module Make Stronger Visual Models","date":"2024-03-27","arxiv_id":"2403.18282","n_code_links":0,"syntology":null},{"paper":null,"slug":"u-sketch-an-efficient-approach-for-sketch-to","title":"U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models","date":"2024-03-27","arxiv_id":"2403.18425","n_code_links":0,"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/hierarchical-light-transformer-ensembles-for","slug":"hierarchical-light-transformer-ensembles-for","title":"Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting","date":"2024-03-26","arxiv_id":"2403.17678","n_code_links":1,"syntology":null},{"paper":"/paper/hill-hierarchy-aware-information-lossless","slug":"hill-hierarchy-aware-information-lossless","title":"HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification","date":"2024-03-26","arxiv_id":"2403.17307","n_code_links":1,"syntology":{"ran":3,"of":3,"n_ran_checked":1,"n_instrument":2,"unverified":0,"pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","official":{"repos":["rooooyy/hill"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"information-theory-and-direction-selectivity","title":"Information Theory and Direction Selectivity","date":"2024-03-26","arxiv_id":"2404.02915","n_code_links":0,"syntology":null},{"paper":"/paper/multi-task-dense-prediction-via-mixture-of","slug":"multi-task-dense-prediction-via-mixture-of","title":"Multi-Task Dense Prediction via Mixture of Low-Rank Experts","date":"2024-03-26","arxiv_id":"2403.17749","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":7,"n_instrument":2,"unverified":2,"pointer_only":11,"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) · 2 unverified","official":{"repos":["yuqiyang213/mlore"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/spectral-convolutional-transformer","slug":"spectral-convolutional-transformer","title":"Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis","date":"2024-03-26","arxiv_id":"2403.18063","n_code_links":2,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":4,"phrase":"4 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["badripatro/heracles","badripatro/sct"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"sugarcanenet2024-an-optimized-weighted","title":"SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification","date":"2024-03-26","arxiv_id":"2403.18870","n_code_links":0,"syntology":null},{"paper":"/paper/ai-generated-video-detection-via-spatio","slug":"ai-generated-video-detection-via-spatio","title":"AI-Generated Video Detection via Spatio-Temporal Anomaly Learning","date":"2024-03-25","arxiv_id":"2403.16638","n_code_links":1,"syntology":null},{"paper":"/paper/ct-bound-fast-boundary-estimation-from-noisy","slug":"ct-bound-fast-boundary-estimation-from-noisy","title":"CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks","date":"2024-03-25","arxiv_id":"2403.16494","n_code_links":1,"syntology":null},{"paper":null,"slug":"elite360d-towards-efficient-360-depth","title":"Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and Distance-Aware Bi-Projection Fusion","date":"2024-03-25","arxiv_id":"2403.16376","n_code_links":0,"syntology":null},{"paper":null,"slug":"employing-high-dimensional-ris-information","title":"Employing High-Dimensional RIS Information for RIS-aided Localization Systems","date":"2024-03-25","arxiv_id":"2403.16521","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploit-high-dimensional-ris-information-to","title":"Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?","date":"2024-03-25","arxiv_id":"2403.16529","n_code_links":0,"syntology":null},{"paper":"/paper/histogram-layers-for-neural-engineered","slug":"histogram-layers-for-neural-engineered","title":"Histogram Layers for Neural Engineered Features","date":"2024-03-25","arxiv_id":"2403.17176","n_code_links":1,"syntology":null},{"paper":"/paper/invertible-diffusion-models-for-compressed","slug":"invertible-diffusion-models-for-compressed","title":"Invertible Diffusion Models for Compressed Sensing","date":"2024-03-25","arxiv_id":"2403.17006","n_code_links":1,"syntology":null},{"paper":"/paper/lsttn-a-long-short-term-transformer-based","slug":"lsttn-a-long-short-term-transformer-based","title":"LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting","date":"2024-03-25","arxiv_id":"2403.16495","n_code_links":1,"syntology":null},{"paper":"/paper/make-your-anchor-a-diffusion-based-2d-avatar","slug":"make-your-anchor-a-diffusion-based-2d-avatar","title":"Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework","date":"2024-03-25","arxiv_id":"2403.16510","n_code_links":1,"syntology":{"ran":6,"of":8,"n_ran_checked":4,"n_instrument":2,"unverified":2,"pointer_only":8,"phrase":"6 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; 2 where Syntology's instrument failed) · 2 unverified","official":{"repos":["ictmcg/make-your-anchor"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/sdxs-real-time-one-step-latent-diffusion","slug":"sdxs-real-time-one-step-latent-diffusion","title":"SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions","date":"2024-03-25","arxiv_id":"2403.16627","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":2,"n_instrument":0,"unverified":0,"pointer_only":1,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["IDKiro/sdxs"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"fh-sstnet-forehead-creases-based-user","title":"FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network","date":"2024-03-24","arxiv_id":"2403.16202","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-deep-learning-and-xception","title":"Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis","date":"2024-03-24","arxiv_id":"2403.16212","n_code_links":0,"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":null,"slug":"sshpool-the-separated-subgraph-based","title":"SSHPool: The Separated Subgraph-based Hierarchical Pooling","date":"2024-03-24","arxiv_id":"2403.16133","n_code_links":0,"syntology":null},{"paper":"/paper/vcr-graphormer-a-mini-batch-graph-transformer","slug":"vcr-graphormer-a-mini-batch-graph-transformer","title":"VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections","date":"2024-03-24","arxiv_id":"2403.16030","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":6,"phrase":"5 ran (of which 3 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dongqifu/vcr-graphormer"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["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":"mrc-based-nested-medical-ner-with-co","title":"MRC-based Nested Medical NER with Co-prediction and Adaptive Pre-training","date":"2024-03-23","arxiv_id":"2403.15800","n_code_links":0,"syntology":null},{"paper":null,"slug":"spatio-temporal-bi-directional-cross-frame","title":"Spatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking","date":"2024-03-23","arxiv_id":"2403.15831","n_code_links":0,"syntology":null},{"paper":"/paper/towards-low-energy-adaptive-personalization","slug":"towards-low-energy-adaptive-personalization","title":"Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices","date":"2024-03-23","arxiv_id":"2403.15905","n_code_links":1,"syntology":null},{"paper":null,"slug":"geometric-generative-models-based-on","title":"Geometric Generative Models based on Morphological Equivariant PDEs and GANs","date":"2024-03-22","arxiv_id":"2403.14897","n_code_links":0,"syntology":null},{"paper":null,"slug":"gtagcn-generalized-topology-adaptive-graph","title":"GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks","date":"2024-03-22","arxiv_id":"2403.15077","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-classification-with-rotation-invariant","title":"Image Classification with Rotation-Invariant Variational Quantum Circuits","date":"2024-03-22","arxiv_id":"2403.15031","n_code_links":0,"syntology":null},{"paper":"/paper/lsk3dnet-towards-effective-and-efficient-3d","slug":"lsk3dnet-towards-effective-and-efficient-3d","title":"LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels","date":"2024-03-22","arxiv_id":"2403.15173","n_code_links":1,"syntology":null},{"paper":null,"slug":"multimodal-fusion-with-pre-trained-model","title":"Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wild","date":"2024-03-22","arxiv_id":"2403.15044","n_code_links":0,"syntology":null},{"paper":"/paper/parametric-encoding-with-attention-and","slug":"parametric-encoding-with-attention-and","title":"Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers","date":"2024-03-22","arxiv_id":"2403.15652","n_code_links":1,"syntology":{"ran":5,"of":6,"n_ran_checked":5,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"5 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; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Bostanabad-Research-Group/pgcan"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"parformer-vision-transformer-baseline-with","title":"ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding","date":"2024-03-22","arxiv_id":"2403.15004","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":"/paper/simple-graph-condensation","slug":"simple-graph-condensation","title":"Simple Graph Condensation","date":"2024-03-22","arxiv_id":"2403.14951","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-automatic-abdominal-mri-organ","title":"Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels","date":"2024-03-22","arxiv_id":"2403.15609","n_code_links":0,"syntology":null},{"paper":"/paper/transfer-clip-for-generalizable-image","slug":"transfer-clip-for-generalizable-image","title":"Transfer CLIP for Generalizable Image Denoising","date":"2024-03-22","arxiv_id":"2403.15132","n_code_links":1,"syntology":null},{"paper":null,"slug":"tri-perspective-view-decomposition-for","title":"Tri-Perspective View Decomposition for Geometry-Aware Depth Completion","date":"2024-03-22","arxiv_id":"2403.15008","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/isplib-a-library-for-accelerating-graph","slug":"isplib-a-library-for-accelerating-graph","title":"iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations","date":"2024-03-21","arxiv_id":"2403.14853","n_code_links":1,"syntology":null}],"record_sha256":"901d2b12546660dc3778749d3ddd7665128d8198c80f27bd3c45e7940841e399","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}