{"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/relu/papers/6","list_of":"/method/relu","method":"ReLU","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":6,"pages_in_order":104,"rows_per_page":100,"rows":[501,600],"of":10350,"counts":{"archive_papers_tagged":10350,"with_a_code_link":4256,"where_syntology_ran_a_sample":1079,"not_listed_spam_title":0,"listed":10350,"listed_where_code_ran":1079,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":909,"every_run_a_failure_of_syntologys_instrument":170,"listed_with_a_run_with_no_instrument_failure":909,"listed_every_run_a_failure_of_syntologys_instrument":170,"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/relu","prev":"/method/relu/papers/5","next":"/method/relu/papers/7","papers":[{"paper":null,"slug":"scaffold-slam-structured-3d-gaussians-for","title":"Scaffold-SLAM: Structured 3D Gaussians for Simultaneous Localization and Photorealistic Mapping","date":"2025-01-09","arxiv_id":"2501.05242","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparison-of-neural-models-for-x-ray-image","title":"Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection","date":"2025-01-08","arxiv_id":"2501.04196","n_code_links":0,"syntology":null},{"paper":null,"slug":"integrating-llms-with-its-recent-advances","title":"Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions","date":"2025-01-08","arxiv_id":"2501.04437","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-value-mapping-virtual-staining-framework","title":"A Value Mapping Virtual Staining Framework for Large-scale Histological Imaging","date":"2025-01-07","arxiv_id":"2501.03592","n_code_links":0,"syntology":null},{"paper":null,"slug":"dgssa-domain-generalization-with-structural","title":"DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation","date":"2025-01-07","arxiv_id":"2501.03466","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-and-accurate-tuberculosis-diagnosis","title":"Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework","date":"2025-01-07","arxiv_id":"2501.03538","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhanced-tuberculosis-bacilli-detection-using","title":"Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification","date":"2025-01-07","arxiv_id":"2501.03539","n_code_links":0,"syntology":null},{"paper":"/paper/image-segmentation-inducing-graph-based","slug":"image-segmentation-inducing-graph-based","title":"Image Segmentation: Inducing graph-based learning","date":"2025-01-07","arxiv_id":"2501.03765","n_code_links":1,"syntology":null},{"paper":null,"slug":"convexity-in-relu-neural-networks-beyond","title":"Convexity in ReLU Neural Networks: beyond ICNNs?","date":"2025-01-06","arxiv_id":"2501.03017","n_code_links":0,"syntology":null},{"paper":null,"slug":"scalable-forward-forward-algorithm","title":"Scalable Forward-Forward Algorithm","date":"2025-01-06","arxiv_id":"2501.03176","n_code_links":0,"syntology":null},{"paper":null,"slug":"framework-for-lung-ct-image-segmentation","title":"Framework for lung CT image segmentation based on UNet++","date":"2025-01-05","arxiv_id":"2501.02428","n_code_links":0,"syntology":null},{"paper":null,"slug":"pteenet-post-trained-early-exit-neural","title":"PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization","date":"2025-01-05","arxiv_id":"2501.02508","n_code_links":0,"syntology":null},{"paper":null,"slug":"diabetic-retinopathy-detection-using-cnn-with","title":"Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN","date":"2025-01-04","arxiv_id":"2501.02300","n_code_links":0,"syntology":null},{"paper":null,"slug":"plasma-cyclegan-plasma-biomarker-guided-mri","title":"Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN","date":"2025-01-04","arxiv_id":"2501.02146","n_code_links":0,"syntology":null},{"paper":null,"slug":"ai-powered-cow-detection-in-complex-farm","title":"AI-Powered Cow Detection in Complex Farm Environments","date":"2025-01-03","arxiv_id":"2501.02080","n_code_links":0,"syntology":null},{"paper":null,"slug":"compressed-domain-prior-guided-video-super","title":"Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content","date":"2025-01-03","arxiv_id":"2501.01773","n_code_links":0,"syntology":null},{"paper":null,"slug":"fusion-deeponet-a-data-efficient-neural","title":"Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows","date":"2025-01-03","arxiv_id":"2501.01934","n_code_links":0,"syntology":null},{"paper":"/paper/hstforu-anomaly-detection-in-aerial-and","slug":"hstforu-anomaly-detection-in-aerial-and","title":"HSTforU: anomaly detection in aerial and ground-based videos with hierarchical spatio-temporal transformer for U-net","date":"2025-01-03","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"tree-net-enhancing-medical-image-segmentation","title":"Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training","date":"2025-01-03","arxiv_id":"2501.02140","n_code_links":0,"syntology":null},{"paper":"/paper/dumo-dual-encoder-modulation-network-for","slug":"dumo-dual-encoder-modulation-network-for","title":"DuMo: Dual Encoder Modulation Network for Precise Concept Erasure","date":"2025-01-02","arxiv_id":"2501.01125","n_code_links":1,"syntology":null},{"paper":null,"slug":"nny-net-swin-next-with-cross-attention-for-3d","title":"nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation","date":"2025-01-02","arxiv_id":"2501.01406","n_code_links":0,"syntology":null},{"paper":null,"slug":"scarnet-a-novel-foundation-model-for","title":"ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI","date":"2025-01-02","arxiv_id":"2501.01372","n_code_links":0,"syntology":null},{"paper":null,"slug":"videoanydoor-high-fidelity-video-object","title":"VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control","date":"2025-01-02","arxiv_id":"2501.01427","n_code_links":0,"syntology":null},{"paper":null,"slug":"a4a-adapter-for-adapter-transfer-via-all-for","title":"A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"alias-free-latent-diffusion-models-improving-1","title":"Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"dual-prompting-image-restoration-with","title":"Dual Prompting Image Restoration with Diffusion Transformers","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"dynpose-largely-improving-the-efficiency-of","title":"DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"hardness-of-learning-fixed-parities-with","title":"Hardness of Learning Fixed Parities with Neural Networks","date":"2025-01-01","arxiv_id":"2501.00817","n_code_links":0,"syntology":null},{"paper":null,"slug":"simplification-is-all-you-need-against-out-of","title":"Simplification Is All You Need against Out-of-Distribution Overconfidence","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"spiking-transformer-introducing-accurate-1","title":"Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/t2icount-enhancing-cross-modal-understanding","slug":"t2icount-enhancing-cross-modal-understanding","title":"T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting","date":"2025-01-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"text-driven-fashion-image-editing-with","title":"Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction","date":"2025-01-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"research-on-vehicle-detection-based-on","title":"Research on vehicle detection based on improved YOLOv8 network","date":"2024-12-31","arxiv_id":"2501.00300","n_code_links":0,"syntology":null},{"paper":"/paper/quantum-diffusion-model-for-quark-and-gluon","slug":"quantum-diffusion-model-for-quark-and-gluon","title":"Quantum Diffusion Model for Quark and Gluon Jet Generation","date":"2024-12-30","arxiv_id":"2412.21082","n_code_links":1,"syntology":null},{"paper":null,"slug":"confidence-interval-construction-and","title":"Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks","date":"2024-12-29","arxiv_id":"2412.20355","n_code_links":0,"syntology":null},{"paper":"/paper/a-fuzzy-rank-based-ensemble-of-cnn-models-for-1","slug":"a-fuzzy-rank-based-ensemble-of-cnn-models-for-1","title":"A fuzzy rank-based ensemble of CNN models for MRI segmentation","date":"2024-12-28","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/gsplatloc-ultra-precise-camera-localization","slug":"gsplatloc-ultra-precise-camera-localization","title":"GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting","date":"2024-12-28","arxiv_id":"2412.20056","n_code_links":1,"syntology":null},{"paper":"/paper/telu-activation-function-for-fast-and-stable","slug":"telu-activation-function-for-fast-and-stable","title":"TeLU Activation Function for Fast and Stable Deep Learning","date":"2024-12-28","arxiv_id":"2412.20269","n_code_links":1,"syntology":null},{"paper":null,"slug":"deep-relu-networks-injectivity-capacity-upper","title":"Deep ReLU networks -- injectivity capacity upper bounds","date":"2024-12-27","arxiv_id":"2412.19677","n_code_links":0,"syntology":null},{"paper":"/paper/robotdiffuse-motion-planning-for-redundant","slug":"robotdiffuse-motion-planning-for-redundant","title":"RobotDiffuse: Motion Planning for Redundant Manipulator based on Diffusion Model","date":"2024-12-27","arxiv_id":"2412.19500","n_code_links":1,"syntology":null},{"paper":null,"slug":"evaluating-convolutional-neural-networks-for","title":"Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images","date":"2024-12-26","arxiv_id":"2412.19362","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-the-network-traffic-classification","title":"Improving the network traffic classification using the Packet Vision approach","date":"2024-12-26","arxiv_id":"2412.19360","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-directed-speech-enhancement-with-dual","title":"Neural Directed Speech Enhancement with Dual Microphone Array in High Noise Scenario","date":"2024-12-24","arxiv_id":"2412.18141","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-local-complexity-of-linear-regions-in","title":"On the Local Complexity of Linear Regions in Deep ReLU Networks","date":"2024-12-24","arxiv_id":"2412.18283","n_code_links":0,"syntology":null},{"paper":null,"slug":"u-mamba-net-a-highly-efficient-mamba-based-u","title":"U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation","date":"2024-12-24","arxiv_id":"2412.18217","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-temporal-convolutional-network-based","title":"A Temporal Convolutional Network-based Approach for Network Intrusion Detection","date":"2024-12-23","arxiv_id":"2412.17452","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-intrinsically-explainable-approach-to","title":"An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling","date":"2024-12-23","arxiv_id":"2412.17258","n_code_links":0,"syntology":null},{"paper":null,"slug":"assessment-of-deep-learning-methods-for-the","title":"Assessment of Deep-Learning Methods for the Enhancement of Experimental Low Dose Dental CBCT Volumes","date":"2024-12-23","arxiv_id":"2412.17423","n_code_links":0,"syntology":null},{"paper":null,"slug":"collaborative-optimization-in-financial-data","title":"Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt","date":"2024-12-23","arxiv_id":"2412.17314","n_code_links":0,"syntology":null},{"paper":null,"slug":"combinatorial-regularity-for-relatively","title":"Combinatorial Regularity for Relatively Perfect Discrete Morse Gradient Vector Fields of ReLU Neural Networks","date":"2024-12-23","arxiv_id":"2412.18005","n_code_links":0,"syntology":null},{"paper":"/paper/layerdropback-a-universally-applicable","slug":"layerdropback-a-universally-applicable","title":"LayerDropBack: A Universally Applicable Approach for Accelerating Training of Deep Networks","date":"2024-12-23","arxiv_id":"2412.18027","n_code_links":1,"syntology":null},{"paper":null,"slug":"uroadnet-dual-sparse-attentive-u-net-for","title":"URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction","date":"2024-12-23","arxiv_id":"2412.17573","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-classification-of-high-frequency","title":"Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models","date":"2024-12-22","arxiv_id":"2412.17145","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-contrastive-learning-inspired-by","slug":"enhancing-contrastive-learning-inspired-by","title":"Enhancing Contrastive Learning Inspired by the Philosophy of \"The Blind Men and the Elephant\"","date":"2024-12-21","arxiv_id":"2412.16522","n_code_links":1,"syntology":null},{"paper":"/paper/mamba-seunet-mamba-unet-for-monaural-speech","slug":"mamba-seunet-mamba-unet-for-monaural-speech","title":"Mamba-SEUNet: Mamba UNet for Monaural Speech Enhancement","date":"2024-12-21","arxiv_id":"2412.16626","n_code_links":1,"syntology":null},{"paper":null,"slug":"object-detection-approaches-to-identifying","title":"Object Detection Approaches to Identifying Hand Images with High Forensic Values","date":"2024-12-21","arxiv_id":"2412.16431","n_code_links":0,"syntology":null},{"paper":"/paper/mapping-the-mind-of-an-instruction-based","slug":"mapping-the-mind-of-an-instruction-based","title":"Mapping the Mind of an Instruction-based Image Editing using SMILE","date":"2024-12-20","arxiv_id":"2412.16277","n_code_links":2,"syntology":null},{"paper":null,"slug":"seagrassfinder-deep-learning-for-eelgrass","title":"SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild","date":"2024-12-20","arxiv_id":"2412.16147","n_code_links":0,"syntology":null},{"paper":null,"slug":"self-supervised-radiograph-anatomical-region","title":"Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?","date":"2024-12-20","arxiv_id":"2412.15967","n_code_links":0,"syntology":null},{"paper":null,"slug":"toward-appearance-based-autonomous-landing","title":"Toward Appearance-based Autonomous Landing Site Identification for Multirotor Drones in Unstructured Environments","date":"2024-12-20","arxiv_id":"2412.15486","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-multi-fidelity-graph-u-net-model-for","title":"A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations","date":"2024-12-19","arxiv_id":"2412.15372","n_code_links":0,"syntology":null},{"paper":"/paper/diffsim-taming-diffusion-models-for","slug":"diffsim-taming-diffusion-models-for","title":"DiffSim: Taming Diffusion Models for Evaluating Visual Similarity","date":"2024-12-19","arxiv_id":"2412.14580","n_code_links":1,"syntology":null},{"paper":null,"slug":"exploring-machine-learning-engineering-for","title":"Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)","date":"2024-12-19","arxiv_id":"2412.15347","n_code_links":0,"syntology":null},{"paper":null,"slug":"federated-learning-for-coronary-artery-plaque","title":"Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration","date":"2024-12-19","arxiv_id":"2412.15307","n_code_links":0,"syntology":null},{"paper":null,"slug":"maximising-histopathology-segmentation-using","title":"Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision","date":"2024-12-19","arxiv_id":"2412.15389","n_code_links":0,"syntology":null},{"paper":null,"slug":"mitraclip-device-automated-localization-in-3d","title":"MitraClip Device Automated Localization in 3D Transesophageal Echocardiography via Deep Learning","date":"2024-12-19","arxiv_id":"2412.15013","n_code_links":0,"syntology":null},{"paper":"/paper/remoe-fully-differentiable-mixture-of-experts","slug":"remoe-fully-differentiable-mixture-of-experts","title":"ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing","date":"2024-12-19","arxiv_id":"2412.14711","n_code_links":1,"syntology":{"ran":2,"of":2,"n_ran_checked":1,"n_instrument":1,"unverified":0,"pointer_only":2,"phrase":"2 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; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["thu-ml/remoe"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"uncertainty-estimation-for-super-resolution","title":"Uncertainty Estimation for Super-Resolution using ESRGAN","date":"2024-12-19","arxiv_id":"2412.15439","n_code_links":0,"syntology":null},{"paper":null,"slug":"usefuse-utile-stride-for-enhanced-performance","title":"USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks","date":"2024-12-18","arxiv_id":"2412.13724","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-advantage-based-optimization-method-for","title":"An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space","date":"2024-12-17","arxiv_id":"2412.12605","n_code_links":0,"syntology":null},{"paper":null,"slug":"measurement-of-medial-elbow-joint-space-using","title":"Measurement of Medial Elbow Joint Space using Landmark Detection","date":"2024-12-17","arxiv_id":"2412.13010","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-hardness-of-training-deep-neural","title":"On the Hardness of Training Deep Neural Networks Discretely","date":"2024-12-17","arxiv_id":"2412.13057","n_code_links":0,"syntology":null},{"paper":null,"slug":"smartphone-based-iris-recognition-through","title":"Smartphone-based Iris Recognition through High-Quality Visible Spectrum Iris Capture","date":"2024-12-17","arxiv_id":"2412.13063","n_code_links":0,"syntology":null},{"paper":null,"slug":"ensemble-learning-and-3d-pix2pix-for","title":"Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI","date":"2024-12-16","arxiv_id":"2412.11849","n_code_links":0,"syntology":null},{"paper":"/paper/flex-pe-flexible-and-simd-multi-precision","slug":"flex-pe-flexible-and-simd-multi-precision","title":"Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads","date":"2024-12-16","arxiv_id":"2412.11702","n_code_links":1,"syntology":null},{"paper":null,"slug":"movis-enhancing-multi-object-novel-view","title":"MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes","date":"2024-12-16","arxiv_id":"2412.11457","n_code_links":0,"syntology":null},{"paper":null,"slug":"radarsat-constellation-mission-compact","title":"RADARSAT Constellation Mission Compact Polarisation SAR Data for Burned Area Mapping with Deep Learning","date":"2024-12-16","arxiv_id":"2412.11561","n_code_links":0,"syntology":null},{"paper":"/paper/detecting-daily-living-gait-amid-huntington-s","slug":"detecting-daily-living-gait-amid-huntington-s","title":"Detecting Daily Living Gait Amid Huntington's Disease Chorea using a Foundation Deep Learning Model","date":"2024-12-15","arxiv_id":"2412.11286","n_code_links":1,"syntology":null},{"paper":null,"slug":"sonicmesh-enhancing-3d-human-mesh","title":"Sonicmesh: Enhancing 3D Human Mesh Reconstruction in Vision-Impaired Environments With Acoustic Signals","date":"2024-12-15","arxiv_id":"2412.11325","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-staged-deep-learning-approach-to-spatial","title":"A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport","date":"2024-12-14","arxiv_id":"2412.10945","n_code_links":0,"syntology":null},{"paper":null,"slug":"generative-ai-a-pix2pix-gan-based-machine","title":"Generative AI: A Pix2pix-GAN-Based Machine Learning Approach for Robust and Efficient Lung Segmentation","date":"2024-12-14","arxiv_id":"2412.10826","n_code_links":0,"syntology":null},{"paper":null,"slug":"amused-an-attentive-deep-neural-network-for","title":"AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation","date":"2024-12-13","arxiv_id":"2412.10103","n_code_links":0,"syntology":null},{"paper":null,"slug":"computer-aided-osteoporosis-diagnosis-using","title":"Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules","date":"2024-12-12","arxiv_id":"2412.09330","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-stage-segmentation-and-cascade","title":"Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis","date":"2024-12-12","arxiv_id":"2412.09386","n_code_links":0,"syntology":null},{"paper":null,"slug":"neural-lightrig-unlocking-accurate-object","title":"Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion","date":"2024-12-12","arxiv_id":"2412.09593","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-the-effectiveness-of-rotation-equivariance","title":"On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation","date":"2024-12-12","arxiv_id":"2412.09182","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-physics-based-generative-model-to","title":"A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification","date":"2024-12-11","arxiv_id":"2412.08741","n_code_links":0,"syntology":null},{"paper":"/paper/utilizing-multi-step-loss-for-single-image","slug":"utilizing-multi-step-loss-for-single-image","title":"Utilizing Multi-step Loss for Single Image Reflection Removal","date":"2024-12-11","arxiv_id":"2412.08582","n_code_links":1,"syntology":null},{"paper":"/paper/amclr-unified-augmented-learning-for-cross","slug":"amclr-unified-augmented-learning-for-cross","title":"AmCLR: Unified Augmented Learning for Cross-Modal Representations","date":"2024-12-10","arxiv_id":"2412.07979","n_code_links":1,"syntology":null},{"paper":null,"slug":"comparative-analysis-of-deep-learning-4","title":"Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG","date":"2024-12-10","arxiv_id":"2412.07878","n_code_links":0,"syntology":null},{"paper":null,"slug":"echoir-advancing-image-restoration-with-echo","title":"EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization","date":"2024-12-10","arxiv_id":"2412.07225","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-convolutional-networks-enable-fast","title":"Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography","date":"2024-12-10","arxiv_id":"2412.07888","n_code_links":0,"syntology":null},{"paper":null,"slug":"high-dimensional-classification-problems-with","title":"High-dimensional classification problems with Barron regular boundaries under margin conditions","date":"2024-12-10","arxiv_id":"2412.07312","n_code_links":0,"syntology":null},{"paper":null,"slug":"lora3d-low-rank-self-calibration-of-3d","title":"LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models","date":"2024-12-10","arxiv_id":"2412.07746","n_code_links":0,"syntology":null},{"paper":null,"slug":"solving-the-poisson-equation-with-dirichlet","title":"Solving the Poisson Equation with Dirichlet data by shallow ReLU$^α$-networks: A regularity and approximation perspective","date":"2024-12-10","arxiv_id":"2412.07728","n_code_links":0,"syntology":null},{"paper":null,"slug":"dense-cross-connected-ensemble-convolutional","title":"Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness","date":"2024-12-09","arxiv_id":"2412.07022","n_code_links":0,"syntology":null},{"paper":"/paper/emov2-pushing-5m-vision-model-frontier","slug":"emov2-pushing-5m-vision-model-frontier","title":"EMOv2: Pushing 5M Vision Model Frontier","date":"2024-12-09","arxiv_id":"2412.06674","n_code_links":1,"syntology":null},{"paper":"/paper/hybrid-attention-network-an-efficient","slug":"hybrid-attention-network-an-efficient","title":"HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection","date":"2024-12-09","arxiv_id":"2412.06499","n_code_links":1,"syntology":null},{"paper":null,"slug":"impact-of-privacy-parameters-on-deep-learning","title":"Impact of Privacy Parameters on Deep Learning Models for Image Classification","date":"2024-12-09","arxiv_id":"2412.06689","n_code_links":0,"syntology":null},{"paper":null,"slug":"thermal-image-based-fault-diagnosis-in","title":"Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks","date":"2024-12-08","arxiv_id":"2412.05901","n_code_links":0,"syntology":null}],"record_sha256":"1ad838a7a8c7e7faaf96caa28bc5b1935186be928eba698ddd4a929b7fbc9445","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}