{"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/1x1-convolution/papers/8","list_of":"/method/1x1-convolution","method":"1x1 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":8,"pages_in_order":57,"rows_per_page":100,"rows":[701,800],"of":5640,"counts":{"archive_papers_tagged":5640,"with_a_code_link":2516,"where_syntology_ran_a_sample":651,"not_listed_spam_title":0,"listed":5640,"listed_where_code_ran":651,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":545,"every_run_a_failure_of_syntologys_instrument":106,"listed_with_a_run_with_no_instrument_failure":545,"listed_every_run_a_failure_of_syntologys_instrument":106,"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/1x1-convolution","prev":"/method/1x1-convolution/papers/7","next":"/method/1x1-convolution/papers/9","papers":[{"paper":null,"slug":"banglanet-bangla-handwritten-character","title":"BanglaNet: Bangla Handwritten Character Recognition using Ensembling of Convolutional Neural Network","date":"2024-01-16","arxiv_id":"2401.08035","n_code_links":0,"syntology":null},{"paper":null,"slug":"mask-adaptive-gated-convolution-and-bi","title":"Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion","date":"2024-01-15","arxiv_id":"2401.07439","n_code_links":0,"syntology":null},{"paper":null,"slug":"survival-analysis-of-young-triple-negative","title":"Survival Analysis of Young Triple-Negative Breast Cancer Patients","date":"2024-01-15","arxiv_id":"2401.08712","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-strong-inductive-bias-gzip-for-binary-image","title":"A Strong Inductive Bias: Gzip for binary image classification","date":"2024-01-14","arxiv_id":"2401.07392","n_code_links":0,"syntology":null},{"paper":null,"slug":"harnessing-machine-learning-for-discerning-ai","title":"Harnessing Machine Learning for Discerning AI-Generated Synthetic Images","date":"2024-01-14","arxiv_id":"2401.07358","n_code_links":0,"syntology":null},{"paper":null,"slug":"concrete-surface-crack-detection-with","title":"Concrete Surface Crack Detection with Convolutional-based Deep Learning Models","date":"2024-01-13","arxiv_id":"2401.07124","n_code_links":0,"syntology":null},{"paper":null,"slug":"nodi-out-of-distribution-detection-with-noise","title":"NODI: Out-Of-Distribution Detection with Noise from Diffusion","date":"2024-01-13","arxiv_id":"2401.08689","n_code_links":0,"syntology":null},{"paper":null,"slug":"triamese-vit-a-3d-aware-method-for-robust","title":"Triamese-ViT: A 3D-Aware Method for Robust Brain Age Estimation from MRIs","date":"2024-01-13","arxiv_id":"2401.09475","n_code_links":0,"syntology":null},{"paper":"/paper/always-sparse-training-by-growing-connections","slug":"always-sparse-training-by-growing-connections","title":"Always-Sparse Training by Growing Connections with Guided Stochastic Exploration","date":"2024-01-12","arxiv_id":"2401.06898","n_code_links":1,"syntology":null},{"paper":"/paper/an-experimental-evaluation-of-deep","slug":"an-experimental-evaluation-of-deep","title":"An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control","date":"2024-01-11","arxiv_id":"2401.05737","n_code_links":1,"syntology":null},{"paper":null,"slug":"automatic-uav-based-airport-pavement","title":"Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios","date":"2024-01-11","arxiv_id":"2401.06019","n_code_links":0,"syntology":null},{"paper":null,"slug":"brain-tumor-radiogenomic-classification","title":"Brain Tumor Radiogenomic Classification","date":"2024-01-11","arxiv_id":"2401.09471","n_code_links":0,"syntology":null},{"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":null,"slug":"enhancing-sensing-assisted-communications-in","title":"Enhancing Sensing-Assisted Communications in Cluttered Indoor Environments through Background Subtraction","date":"2024-01-11","arxiv_id":"2401.05763","n_code_links":0,"syntology":null},{"paper":"/paper/yolo-former-yolo-shakes-hand-with-vit","slug":"yolo-former-yolo-shakes-hand-with-vit","title":"YOLO-Former: YOLO Shakes Hand With ViT","date":"2024-01-11","arxiv_id":"2401.06244","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-avg-pooling-based-attention-vision","title":"Adaptive-avg-pooling based Attention Vision Transformer for Face Anti-spoofing","date":"2024-01-10","arxiv_id":"2401.04953","n_code_links":0,"syntology":null},{"paper":null,"slug":"robust-cnn-based-respiration-rate-estimation","title":"Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU","date":"2024-01-10","arxiv_id":"2401.05469","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":null,"slug":"comparative-analysis-of-deep-convolutional","title":"Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes","date":"2024-01-08","arxiv_id":"2406.08758","n_code_links":0,"syntology":null},{"paper":"/paper/peneo-unifying-line-extraction-line-grouping","slug":"peneo-unifying-line-extraction-line-grouping","title":"PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction","date":"2024-01-07","arxiv_id":"2401.03472","n_code_links":1,"syntology":null},{"paper":"/paper/web-diagnosis-for-covid-19-and-pneumonia","slug":"web-diagnosis-for-covid-19-and-pneumonia","title":"Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays","date":"2024-01-06","arxiv_id":null,"n_code_links":2,"syntology":null},{"paper":null,"slug":"a-cost-efficient-fpga-implementation-of-tiny","title":"A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE","date":"2024-01-05","arxiv_id":"2401.02721","n_code_links":0,"syntology":null},{"paper":null,"slug":"offline-handwriting-signature-verification-a","title":"Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach","date":"2024-01-05","arxiv_id":"2401.09467","n_code_links":0,"syntology":null},{"paper":null,"slug":"traffic-cameras-to-detect-inland-waterway","title":"Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning","date":"2024-01-05","arxiv_id":"2401.03070","n_code_links":0,"syntology":null},{"paper":"/paper/unettsf-a-better-performance-linear","slug":"unettsf-a-better-performance-linear","title":"UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model","date":"2024-01-05","arxiv_id":"2401.03001","n_code_links":1,"syntology":null},{"paper":null,"slug":"hypersense-accelerating-hyper-dimensional","title":"HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing","date":"2024-01-04","arxiv_id":"2401.10267","n_code_links":0,"syntology":null},{"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":"real-time-object-detection-in-occluded","title":"Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning","date":"2024-01-02","arxiv_id":"2401.00986","n_code_links":0,"syntology":null},{"paper":"/paper/data-augmentation-techniques-for-cross-domain","slug":"data-augmentation-techniques-for-cross-domain","title":"Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition","date":"2024-01-01","arxiv_id":"2401.00964","n_code_links":1,"syntology":null},{"paper":"/paper/directional-antenna-systems-for-long-range","slug":"directional-antenna-systems-for-long-range","title":"Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition","date":"2024-01-01","arxiv_id":"2401.01388","n_code_links":1,"syntology":null},{"paper":null,"slug":"geometry-depth-consistency-in-rgbd-relative","title":"Geometry Depth Consistency in RGBD Relative Pose Estimation","date":"2024-01-01","arxiv_id":"2401.00639","n_code_links":0,"syntology":null},{"paper":null,"slug":"steindreamer-variance-reduction-for-text-to","title":"SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity","date":"2023-12-31","arxiv_id":"2401.00604","n_code_links":0,"syntology":null},{"paper":"/paper/svfap-self-supervised-video-facial-affect","slug":"svfap-self-supervised-video-facial-affect","title":"SVFAP: Self-supervised Video Facial Affect Perceiver","date":"2023-12-31","arxiv_id":"2401.00416","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-fully-automated-pipeline-using-swin","title":"A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head CT Scans After Aneurysmal Subarachnoid Hemorrhage","date":"2023-12-29","arxiv_id":"2312.17553","n_code_links":0,"syntology":null},{"paper":null,"slug":"adversarial-attacks-on-image-classification-1","title":"Adversarial Attacks on Image Classification Models: Analysis and Defense","date":"2023-12-28","arxiv_id":"2312.16880","n_code_links":0,"syntology":null},{"paper":null,"slug":"block-pruning-for-enhanced-efficiency-in","title":"Block Pruning for Enhanced Efficiency in Convolutional Neural Networks","date":"2023-12-28","arxiv_id":"2312.16904","n_code_links":0,"syntology":null},{"paper":null,"slug":"doepatch-dynamically-optimized-ensemble-model","title":"DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation","date":"2023-12-28","arxiv_id":"2312.16907","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-physics-based-learned","slug":"efficient-physics-based-learned","title":"Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging","date":"2023-12-28","arxiv_id":"2312.16959","n_code_links":1,"syntology":null},{"paper":"/paper/fenet-focusing-enhanced-network-for-lane","slug":"fenet-focusing-enhanced-network-for-lane","title":"FENet: Focusing Enhanced Network for Lane Detection","date":"2023-12-28","arxiv_id":"2312.17163","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":"/paper/forgery-aware-adaptive-transformer-for","slug":"forgery-aware-adaptive-transformer-for","title":"Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection","date":"2023-12-27","arxiv_id":"2312.16649","n_code_links":2,"syntology":{"ran":6,"of":7,"n_ran_checked":1,"n_instrument":5,"unverified":1,"pointer_only":4,"phrase":"6 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; 5 where Syntology's instrument failed) · 1 unverified","official":{"repos":["Michel-liu/FatFormer"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/cr-sam-curvature-regularized-sharpness-aware","slug":"cr-sam-curvature-regularized-sharpness-aware","title":"CR-SAM: Curvature Regularized Sharpness-Aware Minimization","date":"2023-12-21","arxiv_id":"2312.13555","n_code_links":1,"syntology":{"ran":7,"of":11,"n_ran_checked":5,"n_instrument":2,"unverified":4,"pointer_only":11,"phrase":"7 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; 2 where Syntology's instrument failed) · 4 unverified","official":{"repos":["trustaiot/cr-sam"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"spdgan-a-generative-adversarial-network-based","title":"SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization","date":"2023-12-21","arxiv_id":"2312.13506","n_code_links":0,"syntology":null},{"paper":"/paper/unlocking-deep-learning-a-bp-free-approach","slug":"unlocking-deep-learning-a-bp-free-approach","title":"Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks","date":"2023-12-20","arxiv_id":"2312.13311","n_code_links":1,"syntology":null},{"paper":null,"slug":"voxceleb-esp-preliminary-experiments","title":"Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices","date":"2023-12-20","arxiv_id":"2401.09441","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},{"paper":null,"slug":"global-feature-pyramid-network","title":"Global Feature Pyramid Network","date":"2023-12-18","arxiv_id":"2312.11231","n_code_links":0,"syntology":null},{"paper":"/paper/towards-an-end-to-end-artificial-intelligence","slug":"towards-an-end-to-end-artificial-intelligence","title":"Towards an end-to-end artificial intelligence driven global weather forecasting system","date":"2023-12-18","arxiv_id":"2312.12462","n_code_links":1,"syntology":null},{"paper":null,"slug":"tender-notice-extraction-from-e-papers-using","title":"Tender Notice Extraction from E-papers Using Neural Network","date":"2023-12-16","arxiv_id":"2312.10437","n_code_links":0,"syntology":null},{"paper":"/paper/accelerating-neural-network-training-a-brief","slug":"accelerating-neural-network-training-a-brief","title":"Accelerating Neural Network Training: A Brief Review","date":"2023-12-15","arxiv_id":"2312.10024","n_code_links":1,"syntology":null},{"paper":null,"slug":"fragility-robustness-and-antifragility-in","title":"Fragility, Robustness and Antifragility in Deep Learning","date":"2023-12-15","arxiv_id":"2312.09821","n_code_links":0,"syntology":null},{"paper":"/paper/keep-the-faith-faithful-explanations-in","slug":"keep-the-faith-faithful-explanations-in","title":"Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning","date":"2023-12-15","arxiv_id":"2312.09783","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":1,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["ai-med/keepthefaith"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/part-representation-learning-with-teacher","slug":"part-representation-learning-with-teacher","title":"Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification","date":"2023-12-15","arxiv_id":"2312.09797","n_code_links":1,"syntology":null},{"paper":null,"slug":"system-integration-of-xilinx-dpu-and-hdmi-for","title":"System Integration of Xilinx DPU and HDMI for Real-Time inference in PYNQ Environment with Image Enhancement","date":"2023-12-15","arxiv_id":"2312.09506","n_code_links":0,"syntology":null},{"paper":"/paper/next-tdnn-modernizing-multi-scale-temporal","slug":"next-tdnn-modernizing-multi-scale-temporal","title":"NeXt-TDNN: Modernizing Multi-Scale Temporal Convolution Backbone for Speaker Verification","date":"2023-12-14","arxiv_id":"2312.08603","n_code_links":1,"syntology":null},{"paper":null,"slug":"offshore-wind-plant-instance-segmentation","title":"Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models","date":"2023-12-14","arxiv_id":"2312.08773","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-image-based-detection-of-tomato-and","title":"On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments","date":"2023-12-14","arxiv_id":"2312.08659","n_code_links":0,"syntology":null},{"paper":"/paper/memory-efficient-reversible-spiking-neural","slug":"memory-efficient-reversible-spiking-neural","title":"Memory-Efficient Reversible Spiking Neural Networks","date":"2023-12-13","arxiv_id":"2312.07922","n_code_links":1,"syntology":null},{"paper":null,"slug":"on-designing-multi-uav-aided-wireless-powered","title":"On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning","date":"2023-12-13","arxiv_id":"2312.07917","n_code_links":0,"syntology":null},{"paper":null,"slug":"pneumonia-detection-on-chest-x-ray-images","title":"Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks","date":"2023-12-13","arxiv_id":"2312.07965","n_code_links":0,"syntology":null},{"paper":"/paper/mixed-pseudo-labels-for-semi-supervised","slug":"mixed-pseudo-labels-for-semi-supervised","title":"Mixed Pseudo Labels for Semi-Supervised Object Detection","date":"2023-12-12","arxiv_id":"2312.07006","n_code_links":1,"syntology":null},{"paper":"/paper/pre-trained-universal-medical-image","slug":"pre-trained-universal-medical-image","title":"Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks","date":"2023-12-12","arxiv_id":"2312.07630","n_code_links":1,"syntology":null},{"paper":"/paper/adod-adaptive-domain-aware-object-detection","slug":"adod-adaptive-domain-aware-object-detection","title":"ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments","date":"2023-12-11","arxiv_id":"2312.06801","n_code_links":1,"syntology":null},{"paper":"/paper/textual-prompt-guided-image-restoration","slug":"textual-prompt-guided-image-restoration","title":"Textual Prompt Guided Image Restoration","date":"2023-12-11","arxiv_id":"2312.06162","n_code_links":1,"syntology":null},{"paper":null,"slug":"understanding-and-leveraging-the-learning","title":"Understanding and Leveraging the Learning Phases of Neural Networks","date":"2023-12-11","arxiv_id":"2312.06887","n_code_links":0,"syntology":null},{"paper":null,"slug":"covid-19-detection-using-slices-processing","title":"COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images","date":"2023-12-10","arxiv_id":"2312.07580","n_code_links":0,"syntology":null},{"paper":"/paper/take-an-irregular-route-enhance-the-decoder","slug":"take-an-irregular-route-enhance-the-decoder","title":"Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer","date":"2023-12-10","arxiv_id":"2312.05792","n_code_links":1,"syntology":null},{"paper":"/paper/espn-memory-efficient-multi-vector","slug":"espn-memory-efficient-multi-vector","title":"ESPN: Memory-Efficient Multi-Vector Information Retrieval","date":"2023-12-09","arxiv_id":"2312.05417","n_code_links":1,"syntology":null},{"paper":null,"slug":"model-evaluation-for-domain-identification-of","title":"Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal","date":"2023-12-09","arxiv_id":"2312.05454","n_code_links":0,"syntology":null},{"paper":"/paper/bridging-synthetic-and-real-worlds-for-pre","slug":"bridging-synthetic-and-real-worlds-for-pre","title":"Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors","date":"2023-12-08","arxiv_id":"2312.05286","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-facial-classification-and","title":"Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning","date":"2023-12-08","arxiv_id":"2312.05219","n_code_links":0,"syntology":null},{"paper":null,"slug":"noise-adaptor-in-spiking-neural-networks","title":"Noise Adaptor in Spiking Neural Networks","date":"2023-12-08","arxiv_id":"2312.05290","n_code_links":0,"syntology":null},{"paper":null,"slug":"scientific-preparation-for-csst","title":"Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning","date":"2023-12-08","arxiv_id":"2312.04948","n_code_links":0,"syntology":null},{"paper":"/paper/unify-change-point-detection-and-segment","slug":"unify-change-point-detection-and-segment","title":"Unify Change Point Detection and Segment Classification in a Regression Task for Transportation Mode Identification","date":"2023-12-08","arxiv_id":"2312.04821","n_code_links":1,"syntology":null},{"paper":null,"slug":"graph-metanetworks-for-processing-diverse","title":"Graph Metanetworks for Processing Diverse Neural Architectures","date":"2023-12-07","arxiv_id":"2312.04501","n_code_links":0,"syntology":null},{"paper":"/paper/golden-gemini-is-all-you-need-finding-the","slug":"golden-gemini-is-all-you-need-finding-the","title":"Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification","date":"2023-12-06","arxiv_id":"2312.03620","n_code_links":1,"syntology":null},{"paper":null,"slug":"indirect-gradient-matching-for-adversarial","title":"Indirect Gradient Matching for Adversarial Robust Distillation","date":"2023-12-06","arxiv_id":"2312.03286","n_code_links":0,"syntology":null},{"paper":"/paper/diffusion-noise-feature-accurate-and-fast","slug":"diffusion-noise-feature-accurate-and-fast","title":"Diffusion Noise Feature: Accurate and Fast Generated Image Detection","date":"2023-12-05","arxiv_id":"2312.02625","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhanced-breast-cancer-tumor-classification","title":"Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment","date":"2023-12-05","arxiv_id":"2312.03020","n_code_links":0,"syntology":null},{"paper":"/paper/gdn-a-stacking-network-used-for-skin-cancer","slug":"gdn-a-stacking-network-used-for-skin-cancer","title":"GDN: A Stacking Network Used for Skin Cancer Diagnosis","date":"2023-12-05","arxiv_id":"2312.02437","n_code_links":1,"syntology":null},{"paper":"/paper/learning-cortical-anomaly-through-masked","slug":"learning-cortical-anomaly-through-masked","title":"Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping","date":"2023-12-05","arxiv_id":"2312.02762","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-reinforcement-learning-for-community","title":"Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices","date":"2023-12-04","arxiv_id":"2312.03008","n_code_links":0,"syntology":null},{"paper":null,"slug":"developing-a-resource-constraint-edgeai-model","title":"Developing a Resource-Constraint EdgeAI model for Surface Defect Detection","date":"2023-12-04","arxiv_id":"2401.05355","n_code_links":0,"syntology":null},{"paper":null,"slug":"estimating-coronal-mass-ejection-mass-and","title":"Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models","date":"2023-12-04","arxiv_id":"2312.01691","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-tuning-neural-ode-for-stability","title":"On Tuning Neural ODE for Stability, Consistency and Faster Convergence","date":"2023-12-04","arxiv_id":"2312.01657","n_code_links":0,"syntology":null},{"paper":"/paper/signed-binarization-unlocking-efficiency","slug":"signed-binarization-unlocking-efficiency","title":"PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off","date":"2023-12-04","arxiv_id":"2312.01581","n_code_links":1,"syntology":null},{"paper":"/paper/d-2-st-adapter-disentangled-and-deformable","slug":"d-2-st-adapter-disentangled-and-deformable","title":"D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition","date":"2023-12-03","arxiv_id":"2312.01431","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-comparative-analysis-towards-melanoma","title":"A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images","date":"2023-12-02","arxiv_id":"2312.01212","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-generative-attacks-and-countermeasures","title":"Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification","date":"2023-12-02","arxiv_id":"2312.00987","n_code_links":0,"syntology":null},{"paper":"/paper/resnls-an-improved-model-for-stock-price","slug":"resnls-an-improved-model-for-stock-price","title":"ResNLS: An Improved Model for Stock Price Forecasting","date":"2023-12-02","arxiv_id":"2312.01020","n_code_links":1,"syntology":null},{"paper":"/paper/toward-improving-robustness-of-object","slug":"toward-improving-robustness-of-object","title":"Toward Improving Robustness of Object Detectors Against Domain Shift","date":"2023-12-02","arxiv_id":"2403.12049","n_code_links":1,"syntology":null},{"paper":"/paper/docreal-robust-document-dewarping-of-real","slug":"docreal-robust-document-dewarping-of-real","title":"DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction","date":"2023-12-01","arxiv_id":null,"n_code_links":3,"syntology":null},{"paper":"/paper/mamba-linear-time-sequence-modeling-with","slug":"mamba-linear-time-sequence-modeling-with","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","date":"2023-12-01","arxiv_id":"2312.00752","n_code_links":35,"syntology":{"ran":28,"of":62,"n_ran_checked":21,"n_instrument":7,"unverified":34,"pointer_only":29,"phrase":"28 ran (of which 7 constructed an object rather than computing a result; 21 with no instrument failure: 0 honoured, 0 violated, 21 with no contract checked; 7 where Syntology's instrument failed) · 34 unverified","official":{"repos":["state-spaces/mamba","radarFudan/mamba"],"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/object-detector-differences-when-using","slug":"object-detector-differences-when-using","title":"Object Detector Differences when using Synthetic and Real Training Data","date":"2023-12-01","arxiv_id":"2312.00694","n_code_links":1,"syntology":null},{"paper":null,"slug":"student-activity-recognition-in-classroom","title":"Student Activity Recognition in Classroom Environments using Transfer Learning","date":"2023-12-01","arxiv_id":"2312.00348","n_code_links":0,"syntology":null},{"paper":null,"slug":"data-efficient-deep-reinforcement-learning-2","title":"Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control","date":"2023-11-30","arxiv_id":"2311.18393","n_code_links":0,"syntology":null},{"paper":"/paper/mrfp-learning-generalizable-semantic","slug":"mrfp-learning-generalizable-semantic","title":"MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation","date":"2023-11-30","arxiv_id":"2311.18331","n_code_links":1,"syntology":null},{"paper":"/paper/rethinking-fid-towards-a-better-evaluation","slug":"rethinking-fid-towards-a-better-evaluation","title":"Rethinking FID: Towards a Better Evaluation Metric for Image Generation","date":"2023-11-30","arxiv_id":"2401.09603","n_code_links":4,"syntology":{"ran":3,"of":3,"n_ran_checked":3,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["google-research/google-research"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"paper":null,"slug":"patchbmi-net-lightweight-facial-patch-based","title":"PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction","date":"2023-11-29","arxiv_id":"2311.18102","n_code_links":0,"syntology":null}],"record_sha256":"a67296255062d2242a633916863184f9dcfa0a2ea600c8683fd2fb9605f6963c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}