{"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/14","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":14,"pages_in_order":104,"rows_per_page":100,"rows":[1301,1400],"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/13","next":"/method/relu/papers/15","papers":[{"paper":"/paper/mucm-net-a-mamba-powered-ucm-net-for-skin","slug":"mucm-net-a-mamba-powered-ucm-net-for-skin","title":"MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation","date":"2024-05-24","arxiv_id":"2405.15925","n_code_links":1,"syntology":null},{"paper":null,"slug":"3d-learnable-supertoken-transformer-for-lidar","title":"3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation","date":"2024-05-23","arxiv_id":"2405.15826","n_code_links":0,"syntology":null},{"paper":null,"slug":"credal-wrapper-of-model-averaging-for","title":"Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification","date":"2024-05-23","arxiv_id":"2405.15047","n_code_links":0,"syntology":null},{"paper":"/paper/dim-diffusion-mamba-for-efficient-high","slug":"dim-diffusion-mamba-for-efficient-high","title":"DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis","date":"2024-05-23","arxiv_id":"2405.14224","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: 1 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["tyshiwo1/dim-diffusionmamba"],"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":"efficient-point-transformer-with-dynamic","title":"Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing","date":"2024-05-23","arxiv_id":"2405.15827","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploration-of-multi-scale-image-fusion","title":"Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis","date":"2024-05-23","arxiv_id":"2406.18548","n_code_links":0,"syntology":null},{"paper":null,"slug":"ghost-stereo-ghostnet-based-cost-volume","title":"Ghost-Stereo: GhostNet-based Cost Volume Enhancement and Aggregation for Stereo Matching Networks","date":"2024-05-23","arxiv_id":"2405.14520","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparative-analysis-of-hyperspectral-image","title":"Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications","date":"2024-05-22","arxiv_id":"2405.13331","n_code_links":0,"syntology":null},{"paper":null,"slug":"hybrid-multihead-attentive-unet-3d-for-brain","title":"Hybrid Multihead Attentive Unet-3D for Brain Tumor Segmentation","date":"2024-05-22","arxiv_id":"2405.13304","n_code_links":0,"syntology":null},{"paper":null,"slug":"hyperspectral-image-reconstruction-for-1","title":"Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry","date":"2024-05-22","arxiv_id":"2405.13843","n_code_links":0,"syntology":null},{"paper":null,"slug":"maximum-manifold-capacity-representations-in","title":"Maximum Manifold Capacity Representations in State Representation Learning","date":"2024-05-22","arxiv_id":"2405.13848","n_code_links":0,"syntology":null},{"paper":null,"slug":"two-heads-are-better-than-one-neural-networks","title":"Two Heads are Better Than One: Neural Networks Quantization with 2D Hilbert Curve-based Output Representation","date":"2024-05-22","arxiv_id":"2405.14024","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-multi-agent-reinforcement-learning","slug":"efficient-multi-agent-reinforcement-learning","title":"Efficient Multi-agent Reinforcement Learning by Planning","date":"2024-05-20","arxiv_id":"2405.11778","n_code_links":1,"syntology":null},{"paper":null,"slug":"hierarchical-segnet-with-channel-and-context","title":"Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images","date":"2024-05-20","arxiv_id":"2405.12318","n_code_links":0,"syntology":null},{"paper":"/paper/emphasizing-crucial-features-for-efficient","slug":"emphasizing-crucial-features-for-efficient","title":"Emphasizing Crucial Features for Efficient Image Restoration","date":"2024-05-19","arxiv_id":"2405.11468","n_code_links":1,"syntology":null},{"paper":null,"slug":"medical-image-analysis-for-detection","title":"Medical Image Analysis for Detection, Treatment and Planning of Disease using Artificial Intelligence Approaches","date":"2024-05-18","arxiv_id":"2405.11295","n_code_links":0,"syntology":null},{"paper":null,"slug":"meta-reinforcement-learning-for-resource-1","title":"Meta Reinforcement Learning for Resource Allocation in Multi-Antenna UAV Network with Rate Splitting Multiple Access","date":"2024-05-18","arxiv_id":"2405.11306","n_code_links":0,"syntology":null},{"paper":"/paper/enhancing-the-analysis-of-murine-neonatal","slug":"enhancing-the-analysis-of-murine-neonatal","title":"Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models","date":"2024-05-17","arxiv_id":"2405.12957","n_code_links":1,"syntology":null},{"paper":null,"slug":"region-level-labels-in-ice-charts-can-produce","title":"Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types","date":"2024-05-16","arxiv_id":"2405.10456","n_code_links":0,"syntology":null},{"paper":null,"slug":"rsdehamba-lightweight-vision-mamba-for-remote","title":"RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing","date":"2024-05-16","arxiv_id":"2405.10030","n_code_links":0,"syntology":null},{"paper":null,"slug":"vision-transformers-for-end-to-end-vision","title":"Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance","date":"2024-05-16","arxiv_id":"2405.10391","n_code_links":0,"syntology":null},{"paper":null,"slug":"chaos-based-reinforcement-learning-with-td3","title":"Chaos-based reinforcement learning with TD3","date":"2024-05-15","arxiv_id":"2405.09086","n_code_links":0,"syntology":null},{"paper":null,"slug":"predictive-energy-management-for-battery","title":"Predictive Energy Management for Battery Electric Vehicles with Hybrid Models","date":"2024-05-15","arxiv_id":"2405.10984","n_code_links":0,"syntology":null},{"paper":null,"slug":"soediff-efficient-distillation-for-small","title":"SOEDiff: Efficient Distillation for Small Object Editing","date":"2024-05-15","arxiv_id":"2405.09114","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-click-through-rate-prediction-method-based","title":"A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features","date":"2024-05-14","arxiv_id":"2405.08852","n_code_links":0,"syntology":null},{"paper":"/paper/shape-aware-synthesis-of-pathological-lung-ct","slug":"shape-aware-synthesis-of-pathological-lung-ct","title":"Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation","date":"2024-05-14","arxiv_id":"2405.08556","n_code_links":1,"syntology":null},{"paper":null,"slug":"estimating-direct-and-indirect-causal-effects","title":"Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference","date":"2024-05-13","arxiv_id":"2405.08174","n_code_links":0,"syntology":null},{"paper":"/paper/hrnet-differentially-private-hierarchical-and","slug":"hrnet-differentially-private-hierarchical-and","title":"HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization","date":"2024-05-13","arxiv_id":"2405.08043","n_code_links":1,"syntology":null},{"paper":null,"slug":"pluto-pathology-universal-transformer","title":"PLUTO: Pathology-Universal Transformer","date":"2024-05-13","arxiv_id":"2405.07905","n_code_links":0,"syntology":null},{"paper":"/paper/explainable-convolutional-neural-networks-for","slug":"explainable-convolutional-neural-networks-for","title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","date":"2024-05-12","arxiv_id":"2405.07338","n_code_links":1,"syntology":null},{"paper":"/paper/potatogans-utilizing-generative-adversarial","slug":"potatogans-utilizing-generative-adversarial","title":"PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification","date":"2024-05-12","arxiv_id":"2405.07332","n_code_links":1,"syntology":null},{"paper":null,"slug":"ctrl-continuous-time-representation-learning","title":"CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network","date":"2024-05-11","arxiv_id":"2405.08013","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-partial-survey-of-decentralized-cooperative","title":"An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning","date":"2024-05-10","arxiv_id":"2405.06161","n_code_links":0,"syntology":null},{"paper":null,"slug":"automated-cell-structure-extraction-for-3d","title":"Automated Cell Structure Extraction for 3D Electron Microscopy by Deep Learning","date":"2024-05-10","arxiv_id":"2405.06303","n_code_links":0,"syntology":null},{"paper":"/paper/learning-a-spiking-neural-network-for","slug":"learning-a-spiking-neural-network-for","title":"Learning A Spiking Neural Network for Efficient Image Deraining","date":"2024-05-10","arxiv_id":"2405.06277","n_code_links":1,"syntology":{"ran":11,"of":11,"n_ran_checked":11,"n_instrument":0,"unverified":0,"pointer_only":11,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mingtian99/esdnet"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"residual-nerf-learning-residual-nerfs-for","title":"Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation","date":"2024-05-10","arxiv_id":"2405.06181","n_code_links":0,"syntology":null},{"paper":"/paper/continuous-max-flow-augmentation-of-self","slug":"continuous-max-flow-augmentation-of-self","title":"Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles","date":"2024-05-09","arxiv_id":"2405.05520","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-and-refining-hirise-image-patches","slug":"detecting-and-refining-hirise-image-patches","title":"Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust","date":"2024-05-08","arxiv_id":"2405.04722","n_code_links":1,"syntology":null},{"paper":null,"slug":"rach-traffic-prediction-in-massive-machine","title":"RACH Traffic Prediction in Massive Machine Type Communications","date":"2024-05-08","arxiv_id":"2405.05235","n_code_links":0,"syntology":null},{"paper":null,"slug":"simple-drop-in-lora-conditioning-on-attention","title":"Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model","date":"2024-05-07","arxiv_id":"2405.03958","n_code_links":0,"syntology":null},{"paper":"/paper/unicorn-u-net-for-sea-ice-forecasting-with","slug":"unicorn-u-net-for-sea-ice-forecasting-with","title":"Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations","date":"2024-05-07","arxiv_id":"2405.03929","n_code_links":1,"syntology":null},{"paper":"/paper/xlstm-extended-long-short-term-memory","slug":"xlstm-extended-long-short-term-memory","title":"xLSTM: Extended Long Short-Term Memory","date":"2024-05-07","arxiv_id":"2405.04517","n_code_links":5,"syntology":{"ran":7,"of":9,"n_ran_checked":7,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"7 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; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["nx-ai/xlstm"],"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/ccdm-continuous-conditional-diffusion-models","slug":"ccdm-continuous-conditional-diffusion-models","title":"CCDM: Continuous Conditional Diffusion Models for Image Generation","date":"2024-05-06","arxiv_id":"2405.03546","n_code_links":1,"syntology":null},{"paper":"/paper/implantable-adaptive-cells-differentiable","slug":"implantable-adaptive-cells-differentiable","title":"Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped network","date":"2024-05-06","arxiv_id":"2405.03420","n_code_links":1,"syntology":null},{"paper":"/paper/repvgg-gelan-enhanced-gelan-with-vgg-style","slug":"repvgg-gelan-enhanced-gelan-with-vgg-style","title":"RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection","date":"2024-05-06","arxiv_id":"2405.03541","n_code_links":1,"syntology":null},{"paper":"/paper/ac-mambaseg-an-adaptive-convolution-and-mamba","slug":"ac-mambaseg-an-adaptive-convolution-and-mamba","title":"AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation","date":"2024-05-05","arxiv_id":"2405.03011","n_code_links":1,"syntology":null},{"paper":null,"slug":"fused-attention-mechanism-based-ore-sorting","title":"Fused attention mechanism-based ore sorting network","date":"2024-05-05","arxiv_id":"2405.02785","n_code_links":0,"syntology":null},{"paper":null,"slug":"salfau-net-saliency-fusion-attention-u-net","title":"SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection","date":"2024-05-05","arxiv_id":"2405.02906","n_code_links":0,"syntology":null},{"paper":"/paper/u-dits-downsample-tokens-in-u-shaped","slug":"u-dits-downsample-tokens-in-u-shaped","title":"U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers","date":"2024-05-04","arxiv_id":"2405.02730","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":["yuchuantian/u-dit"],"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":null,"slug":"a-mutual-information-perspective-on-federated","title":"A Mutual Information Perspective on Federated Contrastive Learning","date":"2024-05-03","arxiv_id":"2405.02081","n_code_links":0,"syntology":null},{"paper":null,"slug":"continuous-learned-primal-dual","title":"Continuous Learned Primal Dual","date":"2024-05-03","arxiv_id":"2405.02478","n_code_links":0,"syntology":null},{"paper":"/paper/introducing-a-microstructure-embedded","slug":"introducing-a-microstructure-embedded","title":"Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space","date":"2024-05-03","arxiv_id":"2405.01975","n_code_links":1,"syntology":null},{"paper":null,"slug":"domain-transferred-synthetic-data-generation","title":"Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation","date":"2024-05-02","arxiv_id":"2405.01113","n_code_links":0,"syntology":null},{"paper":null,"slug":"image-segmentation-of-treated-and-untreated","title":"Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks","date":"2024-05-02","arxiv_id":"2405.01105","n_code_links":0,"syntology":null},{"paper":null,"slug":"mapping-new-realities-ground-truth-image","title":"Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation","date":"2024-04-30","arxiv_id":"2404.19265","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-interpretability-of-deep-active","title":"Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery","date":"2024-04-29","arxiv_id":"2404.19043","n_code_links":0,"syntology":null},{"paper":null,"slug":"revolutionizing-traffic-sign-recognition","title":"Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers","date":"2024-04-29","arxiv_id":"2404.19066","n_code_links":0,"syntology":null},{"paper":"/paper/self-supervised-learning-for-classifying","slug":"self-supervised-learning-for-classifying","title":"Self-supervised learning for classifying paranasal anomalies in the maxillary sinus","date":"2024-04-29","arxiv_id":"2404.18599","n_code_links":1,"syntology":null},{"paper":null,"slug":"u-nets-as-belief-propagation-efficient","title":"U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models","date":"2024-04-29","arxiv_id":"2404.18444","n_code_links":0,"syntology":null},{"paper":null,"slug":"panoptic-segmentation-and-labelling-of-lumbar","title":"Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet","date":"2024-04-28","arxiv_id":"2404.18291","n_code_links":0,"syntology":null},{"paper":"/paper/evanet-elevation-guided-flood-extent-mapping","slug":"evanet-elevation-guided-flood-extent-mapping","title":"EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)","date":"2024-04-27","arxiv_id":"2404.17917","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"0 ran · 1 unverified","official":{"repos":["mtsami/evanet"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/fdce-net-underwater-image-enhancement-with","slug":"fdce-net-underwater-image-enhancement-with","title":"FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder","date":"2024-04-27","arxiv_id":"2404.17936","n_code_links":1,"syntology":null},{"paper":"/paper/generative-diffusion-based-downscaling-for","slug":"generative-diffusion-based-downscaling-for","title":"Generative Diffusion-based Downscaling for Climate","date":"2024-04-27","arxiv_id":"2404.17752","n_code_links":1,"syntology":{"ran":5,"of":9,"n_ran_checked":4,"n_instrument":1,"unverified":4,"pointer_only":9,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","official":{"repos":["robbiewatt1/climatediffuse"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":"/paper/glims-attention-guided-lightweight-multi","slug":"glims-attention-guided-lightweight-multi","title":"GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation","date":"2024-04-27","arxiv_id":"2404.17854","n_code_links":1,"syntology":null},{"paper":"/paper/instance-free-text-to-point-cloud","slug":"instance-free-text-to-point-cloud","title":"Instance-free Text to Point Cloud Localization with Relative Position Awareness","date":"2024-04-27","arxiv_id":"2404.17845","n_code_links":0,"syntology":null},{"paper":null,"slug":"defending-spiking-neural-networks-against","title":"Defending Spiking Neural Networks against Adversarial Attacks through Image Purification","date":"2024-04-26","arxiv_id":"2404.17092","n_code_links":0,"syntology":null},{"paper":"/paper/denoising-from-classical-methods-to-deep-cnns","slug":"denoising-from-classical-methods-to-deep-cnns","title":"Denoising: from classical methods to deep CNNs","date":"2024-04-25","arxiv_id":"2404.16617","n_code_links":1,"syntology":null},{"paper":null,"slug":"offline-reinforcement-learning-with-8","title":"Offline Reinforcement Learning with Behavioral Supervisor Tuning","date":"2024-04-25","arxiv_id":"2404.16399","n_code_links":0,"syntology":null},{"paper":"/paper/rezero-boosting-mcts-based-algorithms-by-just","slug":"rezero-boosting-mcts-based-algorithms-by-just","title":"ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze","date":"2024-04-25","arxiv_id":"2404.16364","n_code_links":1,"syntology":null},{"paper":"/paper/a-fast-balance-optimization-approach-for","slug":"a-fast-balance-optimization-approach-for","title":"A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning","date":"2024-04-24","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/toward-physics-aware-deep-learning","slug":"toward-physics-aware-deep-learning","title":"Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation","date":"2024-04-24","arxiv_id":"2404.15774","n_code_links":1,"syntology":null},{"paper":"/paper/additive-margin-in-contrastive-self","slug":"additive-margin-in-contrastive-self","title":"Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations","date":"2024-04-23","arxiv_id":"2404.14913","n_code_links":1,"syntology":null},{"paper":"/paper/guided-absolutegrad-magnitude-of-gradients","slug":"guided-absolutegrad-magnitude-of-gradients","title":"Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency","date":"2024-04-23","arxiv_id":"2404.15564","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-novel-approach-to-chest-x-ray-lung","title":"A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module","date":"2024-04-22","arxiv_id":"2404.14322","n_code_links":0,"syntology":null},{"paper":null,"slug":"cell-phone-image-based-persian-rice-detection","title":"Cell Phone Image-Based Persian Rice Detection and Classification Using Deep Learning Techniques","date":"2024-04-21","arxiv_id":"2404.13555","n_code_links":0,"syntology":null},{"paper":null,"slug":"nuclei-instance-segmentation-of-cryosectioned","title":"Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture","date":"2024-04-19","arxiv_id":"2404.12986","n_code_links":0,"syntology":null},{"paper":null,"slug":"gait-recognition-from-highly-compressed","title":"Gait Recognition from Highly Compressed Videos","date":"2024-04-18","arxiv_id":"2404.12183","n_code_links":0,"syntology":null},{"paper":"/paper/boosting-medical-image-segmentation","slug":"boosting-medical-image-segmentation","title":"Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer","date":"2024-04-17","arxiv_id":"2404.11361","n_code_links":1,"syntology":null},{"paper":null,"slug":"cu-mamba-selective-state-space-models-with","title":"CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration","date":"2024-04-17","arxiv_id":"2404.11778","n_code_links":0,"syntology":null},{"paper":null,"slug":"laptop-diff-layer-pruning-and-normalized","title":"LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models","date":"2024-04-17","arxiv_id":"2404.11098","n_code_links":0,"syntology":null},{"paper":null,"slug":"slaim-robust-dense-neural-slam-for-online","title":"SLAIM: Robust Dense Neural SLAM for Online Tracking and Mapping","date":"2024-04-17","arxiv_id":"2404.11419","n_code_links":0,"syntology":null},{"paper":null,"slug":"continuous-control-reinforcement-learning","title":"Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms","date":"2024-04-16","arxiv_id":"2404.10645","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-3d-fidelity-of-text-to-3d-using","title":"CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences","date":"2024-04-16","arxiv_id":"2404.10603","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-bracket-image-restoration-and","title":"Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation","date":"2024-04-16","arxiv_id":"2404.10358","n_code_links":0,"syntology":null},{"paper":null,"slug":"intra-operative-tumour-margin-evaluation-in","title":"Intra-operative tumour margin evaluation in breast-conserving surgery with deep learning","date":"2024-04-16","arxiv_id":"2404.10600","n_code_links":0,"syntology":null},{"paper":"/paper/nnu-net-revisited-a-call-for-rigorous","slug":"nnu-net-revisited-a-call-for-rigorous","title":"nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation","date":"2024-04-15","arxiv_id":"2404.09556","n_code_links":3,"syntology":{"ran":7,"of":7,"n_ran_checked":7,"n_instrument":0,"unverified":0,"pointer_only":2,"phrase":"7 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; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["MIC-DKFZ/nnunet"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"breast-cancer-image-classification-method","title":"Breast Cancer Image Classification Method Based on Deep Transfer Learning","date":"2024-04-14","arxiv_id":"2404.09226","n_code_links":0,"syntology":null},{"paper":"/paper/change-guiding-network-incorporating-change","slug":"change-guiding-network-incorporating-change","title":"Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery","date":"2024-04-14","arxiv_id":"2404.09179","n_code_links":1,"syntology":null},{"paper":null,"slug":"panet-a-physics-guided-parametric","title":"PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazing","date":"2024-04-14","arxiv_id":"2404.09269","n_code_links":0,"syntology":null},{"paper":"/paper/joint-physical-digital-facial-attack","slug":"joint-physical-digital-facial-attack","title":"Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues","date":"2024-04-12","arxiv_id":"2404.08450","n_code_links":3,"syntology":null},{"paper":null,"slug":"mental-stress-detection-development-and","title":"Mental Stress Detection: Development and Evaluation of a Wearable In-Ear Plethysmography","date":"2024-04-12","arxiv_id":"2404.08212","n_code_links":0,"syntology":null},{"paper":null,"slug":"depth-estimation-using-weighted-loss-and","title":"Depth Estimation using Weighted-loss and Transfer Learning","date":"2024-04-11","arxiv_id":"2404.07686","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-rater-prompting-for-ambiguous-medical","title":"Multi-rater Prompting for Ambiguous Medical Image Segmentation","date":"2024-04-11","arxiv_id":"2404.07580","n_code_links":0,"syntology":null},{"paper":null,"slug":"protein-intrinsic-disorder-prediction-using","title":"DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction","date":"2024-04-11","arxiv_id":"2404.08108","n_code_links":0,"syntology":null},{"paper":null,"slug":"synthetic-brain-images-bridging-the-gap-in","title":"Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model","date":"2024-04-11","arxiv_id":"2404.08703","n_code_links":0,"syntology":null},{"paper":"/paper/vim-unet-vision-mamba-for-biomedical","slug":"vim-unet-vision-mamba-for-biomedical","title":"ViM-UNet: Vision Mamba for Biomedical Segmentation","date":"2024-04-11","arxiv_id":"2404.07705","n_code_links":1,"syntology":null},{"paper":null,"slug":"weakly-supervised-learning-via-multi-lateral","title":"Weakly-Supervised Learning via Multi-Lateral Decoder Branching for Tool Segmentation in Robot-Assisted Cardiovascular Catheterization","date":"2024-04-11","arxiv_id":"2404.07594","n_code_links":0,"syntology":null},{"paper":null,"slug":"accelerating-cardiac-mri-reconstruction-with","title":"Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach","date":"2024-04-10","arxiv_id":"2404.06941","n_code_links":0,"syntology":null},{"paper":null,"slug":"unveiling-the-potential-of-diffusion-model","title":"Unveiling the potential of diffusion model-based framework with transformer for hyperspectral image classification","date":"2024-04-10","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"latup-net-a-lightweight-3d-attention-u-net","title":"LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation","date":"2024-04-09","arxiv_id":"2404.05911","n_code_links":0,"syntology":null}],"record_sha256":"df4609b54a5545fab00422f31917f4761b592c576ecac1bbbb6fe94c196f2691","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}