{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/convolution/papers/81","list_of":"/method/convolution","method":"Convolution","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":81,"pages_in_order":196,"rows_per_page":100,"rows":[8001,8100],"of":19586,"counts":{"archive_papers_tagged":19586,"with_a_code_link":8064,"where_syntology_ran_a_sample":1837,"not_listed_spam_title":0,"listed":19586,"listed_where_code_ran":1837,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1557,"every_run_a_failure_of_syntologys_instrument":280,"listed_with_a_run_with_no_instrument_failure":1557,"listed_every_run_a_failure_of_syntologys_instrument":280,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/convolution","prev":"/method/convolution/papers/80","next":"/method/convolution/papers/82","papers":[{"paper":null,"slug":"resnet18-model-with-sequential-layer-for","title":"Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset","date":"2022-05-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"identification-of-physical-processes-and","title":"Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net","date":"2022-04-30","arxiv_id":"2205.00134","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-mixed-domain-self-attention-network-for","title":"A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram","date":"2022-04-29","arxiv_id":"2204.13917","n_code_links":0,"syntology":null},{"paper":null,"slug":"birds-eye-view-measuring-behavior-and-posture","title":"Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being","date":"2022-04-29","arxiv_id":"2205.00069","n_code_links":0,"syntology":null},{"paper":"/paper/fix-the-noise-disentangling-source-feature","slug":"fix-the-noise-disentangling-source-feature","title":"Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN","date":"2022-04-29","arxiv_id":"2204.14079","n_code_links":1,"syntology":null},{"paper":"/paper/ossgan-open-set-semi-supervised-image","slug":"ossgan-open-set-semi-supervised-image","title":"OSSGAN: Open-Set Semi-Supervised Image Generation","date":"2022-04-29","arxiv_id":"2204.14249","n_code_links":1,"syntology":{"ran":10,"of":12,"n_ran_checked":3,"n_instrument":7,"unverified":2,"pointer_only":12,"phrase":"10 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; 7 where Syntology's instrument failed) · 2 unverified","official":{"repos":["raven38/ossgan"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"segmentation-of-kidney-stones-in-endoscopic","title":"Segmentation of kidney stones in endoscopic video feeds","date":"2022-04-29","arxiv_id":"2204.14175","n_code_links":0,"syntology":null},{"paper":"/paper/task-embedding-temporal-convolution-networks","slug":"task-embedding-temporal-convolution-networks","title":"Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast","date":"2022-04-29","arxiv_id":"2204.13908","n_code_links":1,"syntology":null},{"paper":"/paper/hpt-hierarchy-aware-prompt-tuning-for","slug":"hpt-hierarchy-aware-prompt-tuning-for","title":"HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification","date":"2022-04-28","arxiv_id":"2204.13413","n_code_links":1,"syntology":{"ran":2,"of":7,"n_ran_checked":2,"n_instrument":0,"unverified":5,"pointer_only":0,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","official":{"repos":["wzh9969/hpt"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"paper":"/paper/unlocking-high-accuracy-differentially","slug":"unlocking-high-accuracy-differentially","title":"Unlocking High-Accuracy Differentially Private Image Classification through Scale","date":"2022-04-28","arxiv_id":"2204.13650","n_code_links":3,"syntology":null},{"paper":"/paper/collaborative-learning-for-hand-and-object","slug":"collaborative-learning-for-hand-and-object","title":"Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution","date":"2022-04-27","arxiv_id":"2204.13062","n_code_links":0,"syntology":null},{"paper":null,"slug":"density-preserving-deep-point-cloud","title":"Density-preserving Deep Point Cloud Compression","date":"2022-04-27","arxiv_id":"2204.12684","n_code_links":0,"syntology":null},{"paper":null,"slug":"gleo-det-deep-convolution-feature-guided","title":"Gleo-Det: Deep Convolution Feature-Guided Detector with Local Entropy Optimization for Salient Points","date":"2022-04-27","arxiv_id":"2204.12884","n_code_links":0,"syntology":null},{"paper":"/paper/grasping-the-arrow-of-time-from-the","slug":"grasping-the-arrow-of-time-from-the","title":"Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN","date":"2022-04-27","arxiv_id":"2204.12696","n_code_links":1,"syntology":null},{"paper":"/paper/gtnet-a-tree-based-deep-graph-learning","slug":"gtnet-a-tree-based-deep-graph-learning","title":"GTNet: A Tree-Based Deep Graph Learning Architecture","date":"2022-04-27","arxiv_id":"2204.12802","n_code_links":1,"syntology":null},{"paper":null,"slug":"learning-green-s-functions-associated-with","title":"Learning Green's functions associated with time-dependent partial differential equations","date":"2022-04-27","arxiv_id":"2204.12789","n_code_links":0,"syntology":null},{"paper":"/paper/scgc-self-supervised-contrastive-graph","slug":"scgc-self-supervised-contrastive-graph","title":"SCGC : Self-Supervised Contrastive Graph Clustering","date":"2022-04-27","arxiv_id":"2204.12656","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-close-look-into-human-activity-recognition","title":"A Close Look into Human Activity Recognition Models using Deep Learning","date":"2022-04-26","arxiv_id":"2204.13589","n_code_links":0,"syntology":null},{"paper":"/paper/a-survey-on-attention-mechanisms-for-medical","slug":"a-survey-on-attention-mechanisms-for-medical","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","date":"2022-04-26","arxiv_id":"2204.12406","n_code_links":1,"syntology":null},{"paper":"/paper/aau-net-an-adaptive-attention-u-net-for","slug":"aau-net-an-adaptive-attention-u-net-for","title":"AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images","date":"2022-04-26","arxiv_id":"2204.12077","n_code_links":2,"syntology":null},{"paper":"/paper/adaptive-split-fusion-transformer","slug":"adaptive-split-fusion-transformer","title":"Adaptive Split-Fusion Transformer","date":"2022-04-26","arxiv_id":"2204.12196","n_code_links":1,"syntology":null},{"paper":null,"slug":"boosting-adversarial-transferability-of-mlp","title":"Boosting Adversarial Transferability of MLP-Mixer","date":"2022-04-26","arxiv_id":"2204.12204","n_code_links":0,"syntology":null},{"paper":null,"slug":"building-change-detection-using-multi","title":"Building Change Detection using Multi-Temporal Airborne LiDAR Data","date":"2022-04-26","arxiv_id":"2204.12535","n_code_links":0,"syntology":null},{"paper":null,"slug":"expanding-the-latent-space-of-stylegan-for","title":"Expanding the Latent Space of StyleGAN for Real Face Editing","date":"2022-04-26","arxiv_id":"2204.12530","n_code_links":0,"syntology":null},{"paper":"/paper/focal-sparse-convolutional-networks-for-3d","slug":"focal-sparse-convolutional-networks-for-3d","title":"Focal Sparse Convolutional Networks for 3D Object Detection","date":"2022-04-26","arxiv_id":"2204.12463","n_code_links":2,"syntology":{"ran":4,"of":5,"n_ran_checked":3,"n_instrument":1,"unverified":1,"pointer_only":5,"phrase":"4 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["dvlab-research/focalsconv"],"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/gpunet-searching-the-deployable-convolution","slug":"gpunet-searching-the-deployable-convolution","title":"GPUNet: Searching the Deployable Convolution Neural Networks for GPUs","date":"2022-04-26","arxiv_id":"2205.00841","n_code_links":1,"syntology":null},{"paper":"/paper/rapq-rescuing-accuracy-for-power-of-two-low","slug":"rapq-rescuing-accuracy-for-power-of-two-low","title":"RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization","date":"2022-04-26","arxiv_id":"2204.12322","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","official":{"repos":["billamihom/rapq"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"transiam-fusing-multimodal-visual-features","title":"TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation","date":"2022-04-26","arxiv_id":"2204.12185","n_code_links":0,"syntology":null},{"paper":null,"slug":"u-net-with-resnet-backbone-for-garment","title":"U-Net with ResNet Backbone for Garment Landmarking Purpose","date":"2022-04-26","arxiv_id":"2204.12084","n_code_links":0,"syntology":null},{"paper":null,"slug":"unified-gcns-towards-connecting-gcns-with","title":"Unified GCNs: Towards Connecting GCNs with CNNs","date":"2022-04-26","arxiv_id":"2204.12300","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-hybrid-defense-method-against-adversarial","title":"A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles","date":"2022-04-25","arxiv_id":"2205.01225","n_code_links":0,"syntology":null},{"paper":"/paper/adaptive-hybrid-activation-function-for-deep","slug":"adaptive-hybrid-activation-function-for-deep","title":"Adaptive hybrid activation function for deep neural networks","date":"2022-04-25","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/bci-breast-cancer-immunohistochemical-image","slug":"bci-breast-cancer-immunohistochemical-image","title":"BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix","date":"2022-04-25","arxiv_id":"2204.11425","n_code_links":1,"syntology":null},{"paper":null,"slug":"evolutionary-latent-space-search-for-driving","title":"Evolutionary latent space search for driving human portrait generation","date":"2022-04-25","arxiv_id":"2204.11887","n_code_links":0,"syntology":null},{"paper":null,"slug":"gdgru-dta-predicting-drug-target-binding","title":"GDGRU-DTA: Predicting Drug-Target Binding Affinity Based on GNN and Double GRU","date":"2022-04-25","arxiv_id":"2204.11857","n_code_links":0,"syntology":null},{"paper":"/paper/goal-driven-self-attentive-recurrent-networks","slug":"goal-driven-self-attentive-recurrent-networks","title":"Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction","date":"2022-04-25","arxiv_id":"2204.11561","n_code_links":1,"syntology":{"ran":16,"of":17,"n_ran_checked":16,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 0 violated, 16 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["luigifilippochiara/Goal-SAR"],"state":"official (archive's flag): 16 ran","n_ran":16,"n_constructed":0,"n_ran_no_instrument_failure":16,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/high-efficiency-lossy-image-coding-through","slug":"high-efficiency-lossy-image-coding-through","title":"High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation","date":"2022-04-25","arxiv_id":"2204.11448","n_code_links":1,"syntology":{"ran":9,"of":11,"n_ran_checked":8,"n_instrument":1,"unverified":2,"pointer_only":6,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":null,"slug":"pvnas-3d-neural-architecture-search-with","title":"PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution","date":"2022-04-25","arxiv_id":"2204.11797","n_code_links":0,"syntology":null},{"paper":"/paper/stylegan-human-a-data-centric-odyssey-of","slug":"stylegan-human-a-data-centric-odyssey-of","title":"StyleGAN-Human: A Data-Centric Odyssey of Human Generation","date":"2022-04-25","arxiv_id":"2204.11823","n_code_links":4,"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":["stylegan-human/stylegan-human"],"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/swinfuse-a-residual-swin-transformer-fusion","slug":"swinfuse-a-residual-swin-transformer-fusion","title":"SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images","date":"2022-04-25","arxiv_id":"2204.11436","n_code_links":1,"syntology":null},{"paper":"/paper/towards-evaluating-adaptivity-of-model-based","slug":"towards-evaluating-adaptivity-of-model-based","title":"Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods","date":"2022-04-25","arxiv_id":"2204.11464","n_code_links":1,"syntology":null},{"paper":"/paper/video-frame-interpolation-based-on-deformable","slug":"video-frame-interpolation-based-on-deformable","title":"Video Frame Interpolation Based on Deformable Kernel Region","date":"2022-04-25","arxiv_id":"2204.11396","n_code_links":1,"syntology":null},{"paper":"/paper/epida-an-easy-plug-in-data-augmentation","slug":"epida-an-easy-plug-in-data-augmentation","title":"EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification","date":"2022-04-24","arxiv_id":"2204.11205","n_code_links":1,"syntology":{"ran":2,"of":6,"n_ran_checked":2,"n_instrument":0,"unverified":4,"pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","official":{"repos":["zhaominyiz/epida"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"large-scale-time-series-representation","title":"Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping","date":"2022-04-24","arxiv_id":"2204.11291","n_code_links":0,"syntology":null},{"paper":null,"slug":"predicting-sleeping-quality-using","title":"Predicting Sleeping Quality using Convolutional Neural Networks","date":"2022-04-24","arxiv_id":"2204.13584","n_code_links":0,"syntology":null},{"paper":null,"slug":"discriminative-feature-learning-framework","title":"Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection","date":"2022-04-23","arxiv_id":"2204.11014","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-neural-network-based-agent-in-google","title":"Graph Neural Network based Agent in Google Research Football","date":"2022-04-23","arxiv_id":"2204.11142","n_code_links":0,"syntology":null},{"paper":"/paper/investigating-neural-architectures-by","slug":"investigating-neural-architectures-by","title":"Investigating Neural Architectures by Synthetic Dataset Design","date":"2022-04-23","arxiv_id":"2204.11045","n_code_links":1,"syntology":null},{"paper":null,"slug":"stc-ids-spatial-temporal-correlation-feature","title":"STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles","date":"2022-04-23","arxiv_id":"2204.10990","n_code_links":0,"syntology":null},{"paper":null,"slug":"terrainmesh-metric-semantic-terrain","title":"TerrainMesh: Metric-Semantic Terrain Reconstruction from Aerial Images Using Joint 2D-3D Learning","date":"2022-04-23","arxiv_id":"2204.10993","n_code_links":0,"syntology":null},{"paper":null,"slug":"transformation-invariant-cancerous-tissue","title":"Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet","date":"2022-04-23","arxiv_id":"2204.11066","n_code_links":0,"syntology":null},{"paper":null,"slug":"unsupervised-restoration-of-weather-affected","title":"Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN","date":"2022-04-23","arxiv_id":"2204.10970","n_code_links":0,"syntology":null},{"paper":null,"slug":"use-of-multifidelity-training-data-and","title":"Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models","date":"2022-04-23","arxiv_id":"2204.11138","n_code_links":0,"syntology":null},{"paper":"/paper/attentions-help-cnns-see-better-attention","slug":"attentions-help-cnns-see-better-attention","title":"Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network","date":"2022-04-22","arxiv_id":"2204.10485","n_code_links":3,"syntology":null},{"paper":null,"slug":"balancing-expert-utilization-in-mixture-of","title":"Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability","date":"2022-04-22","arxiv_id":"2204.10598","n_code_links":0,"syntology":null},{"paper":null,"slug":"development-of-an-algorithm-for-medical-image","title":"Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants","date":"2022-04-22","arxiv_id":"2204.10560","n_code_links":0,"syntology":null},{"paper":null,"slug":"dfam-detr-deformable-feature-based-attention","title":"DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection","date":"2022-04-22","arxiv_id":"2204.10667","n_code_links":0,"syntology":null},{"paper":"/paper/dite-hrnet-dynamic-lightweight-high","slug":"dite-hrnet-dynamic-lightweight-high","title":"Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation","date":"2022-04-22","arxiv_id":"2204.10762","n_code_links":1,"syntology":null},{"paper":"/paper/dynamic-prototype-convolution-network-for-few","slug":"dynamic-prototype-convolution-network-for-few","title":"Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation","date":"2022-04-22","arxiv_id":"2204.10638","n_code_links":0,"syntology":null},{"paper":"/paper/hrplanes-high-resolution-airplane-dataset-for","slug":"hrplanes-high-resolution-airplane-dataset-for","title":"A benchmark dataset for deep learning-based airplane detection: HRPlanes","date":"2022-04-22","arxiv_id":"2204.10959","n_code_links":1,"syntology":null},{"paper":"/paper/reward-reports-for-reinforcement-learning","slug":"reward-reports-for-reinforcement-learning","title":"Reward Reports for Reinforcement Learning","date":"2022-04-22","arxiv_id":"2204.10817","n_code_links":1,"syntology":null},{"paper":null,"slug":"ai-based-automated-speech-therapy-tools-for","title":"AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review","date":"2022-04-21","arxiv_id":"2204.10325","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-efficient-end-to-end-deep-neural-network","title":"An Efficient End-to-End Deep Neural Network for Interstitial Lung Disease Recognition and Classification","date":"2022-04-21","arxiv_id":"2204.09909","n_code_links":0,"syntology":null},{"paper":"/paper/cpgnet-cascade-point-grid-fusion-network-for","slug":"cpgnet-cascade-point-grid-fusion-network-for","title":"CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation","date":"2022-04-21","arxiv_id":"2204.09914","n_code_links":3,"syntology":{"ran":4,"of":4,"n_ran_checked":4,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["GangZhang842/CPGNet"],"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":"dgecn-a-depth-guided-edge-convolutional","title":"DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation","date":"2022-04-21","arxiv_id":"2204.09983","n_code_links":0,"syntology":null},{"paper":null,"slug":"gaf-nau-gramian-angular-field-encoded","title":"GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification","date":"2022-04-21","arxiv_id":"2204.10099","n_code_links":0,"syntology":null},{"paper":null,"slug":"heatgait-hop-extracted-adjacency-technique-in","title":"HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition","date":"2022-04-21","arxiv_id":"2204.10238","n_code_links":0,"syntology":null},{"paper":null,"slug":"is-neuron-coverage-needed-to-make-person","title":"Is Neuron Coverage Needed to Make Person Detection More Robust?","date":"2022-04-21","arxiv_id":"2204.10027","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-how-to-interact-with-a-complex","title":"Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning","date":"2022-04-21","arxiv_id":"2204.10374","n_code_links":0,"syntology":null},{"paper":null,"slug":"pixel2mesh-3d-mesh-generation-and-refinement","title":"Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images","date":"2022-04-21","arxiv_id":"2204.09866","n_code_links":0,"syntology":null},{"paper":"/paper/remote-sensing-cross-modal-text-image","slug":"remote-sensing-cross-modal-text-image","title":"Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information","date":"2022-04-21","arxiv_id":"2204.09860","n_code_links":1,"syntology":{"ran":1,"of":2,"n_ran_checked":0,"n_instrument":1,"unverified":1,"pointer_only":0,"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) · 1 unverified","official":{"repos":["xiaoyuan1996/galr"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/revisiting-gaussian-mixture-critic-in-off","slug":"revisiting-gaussian-mixture-critic-in-off","title":"Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach","date":"2022-04-21","arxiv_id":"2204.10256","n_code_links":1,"syntology":null},{"paper":"/paper/sinr-deconvolving-circular-sas-images-using","slug":"sinr-deconvolving-circular-sas-images-using","title":"SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations","date":"2022-04-21","arxiv_id":"2204.10428","n_code_links":1,"syntology":null},{"paper":"/paper/sintra-learning-an-inspiration-model-from-a","slug":"sintra-learning-an-inspiration-model-from-a","title":"SinTra: Learning an inspiration model from a single multi-track music segment","date":"2022-04-21","arxiv_id":"2204.09917","n_code_links":1,"syntology":null},{"paper":"/paper/torchsparse-efficient-point-cloud-inference","slug":"torchsparse-efficient-point-cloud-inference","title":"TorchSparse: Efficient Point Cloud Inference Engine","date":"2022-04-21","arxiv_id":"2204.10319","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":1,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["mit-han-lab/torchsparse"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"a-scalable-deep-learning-framework-for-multi","title":"A Scalable Deep Learning Framework for Multi-rate CSI Feedback under Variable Antenna Ports","date":"2022-04-20","arxiv_id":"2204.09169","n_code_links":0,"syntology":null},{"paper":null,"slug":"complete-identification-of-complex-salt","title":"Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning","date":"2022-04-20","arxiv_id":"2204.09710","n_code_links":0,"syntology":null},{"paper":"/paper/deep-reinforcement-learning-for-a-two-echelon","slug":"deep-reinforcement-learning-for-a-two-echelon","title":"Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains","date":"2022-04-20","arxiv_id":"2204.09603","n_code_links":1,"syntology":null},{"paper":null,"slug":"effects-of-graph-convolutions-in-deep","title":"Effects of Graph Convolutions in Multi-layer Networks","date":"2022-04-20","arxiv_id":"2204.09297","n_code_links":0,"syntology":null},{"paper":null,"slug":"fetal-brain-tissue-annotation-and","title":"Fetal Brain Tissue Annotation and Segmentation Challenge Results","date":"2022-04-20","arxiv_id":"2204.09573","n_code_links":0,"syntology":null},{"paper":"/paper/graph-neural-networks-and-attention-based-cnn","slug":"graph-neural-networks-and-attention-based-cnn","title":"Graph neural networks and attention-based CNN-LSTM for protein classification","date":"2022-04-20","arxiv_id":"2204.09486","n_code_links":1,"syntology":null},{"paper":null,"slug":"sound-guided-semantic-video-generation","title":"Sound-Guided Semantic Video Generation","date":"2022-04-20","arxiv_id":"2204.09273","n_code_links":0,"syntology":null},{"paper":null,"slug":"audio-deep-fake-detection-system-with-neural","title":"Audio Deep Fake Detection System with Neural Stitching for ADD 2022","date":"2022-04-19","arxiv_id":"2204.08720","n_code_links":0,"syntology":null},{"paper":"/paper/ctcnet-a-cnn-transformer-cooperation-network","slug":"ctcnet-a-cnn-transformer-cooperation-network","title":"CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution","date":"2022-04-19","arxiv_id":"2204.08696","n_code_links":1,"syntology":null},{"paper":"/paper/dual-domain-image-synthesis-using","slug":"dual-domain-image-synthesis-using","title":"Dual-Domain Image Synthesis using Segmentation-Guided GAN","date":"2022-04-19","arxiv_id":"2204.09015","n_code_links":1,"syntology":null},{"paper":"/paper/edge-enhanced-feature-distillation-network","slug":"edge-enhanced-feature-distillation-network","title":"Edge-enhanced Feature Distillation Network for Efficient Super-Resolution","date":"2022-04-19","arxiv_id":"2204.08759","n_code_links":3,"syntology":null},{"paper":"/paper/global-and-local-collaborative-learning-for","slug":"global-and-local-collaborative-learning-for","title":"Global-and-Local Collaborative Learning for Co-Salient Object Detection","date":"2022-04-19","arxiv_id":"2204.08917","n_code_links":2,"syntology":null},{"paper":"/paper/learning-enriched-features-for-fast-image","slug":"learning-enriched-features-for-fast-image","title":"Learning Enriched Features for Fast Image Restoration and Enhancement","date":"2022-04-19","arxiv_id":"2205.01649","n_code_links":1,"syntology":null},{"paper":"/paper/multimodal-hate-speech-detection-from-bengali","slug":"multimodal-hate-speech-detection-from-bengali","title":"Multimodal Hate Speech Detection from Bengali Memes and Texts","date":"2022-04-19","arxiv_id":"2204.10196","n_code_links":1,"syntology":null},{"paper":null,"slug":"single-channel-speech-dereverberation-using","title":"Speech Dereverberation with A Reverberation Time Shortening Target","date":"2022-04-19","arxiv_id":"2204.08765","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-advanced-spatio-temporal-convolutional","title":"An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions","date":"2022-04-18","arxiv_id":"2204.09501","n_code_links":0,"syntology":null},{"paper":"/paper/an-optimal-time-variable-learning-framework","slug":"an-optimal-time-variable-learning-framework","title":"An Optimal Time Variable Learning Framework for Deep Neural Networks","date":"2022-04-18","arxiv_id":"2204.08528","n_code_links":1,"syntology":null},{"paper":null,"slug":"application-of-transfer-learning-and-ensemble","title":"Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology","date":"2022-04-18","arxiv_id":"2204.08311","n_code_links":0,"syntology":null},{"paper":"/paper/bsrt-improving-burst-super-resolution-with","slug":"bsrt-improving-burst-super-resolution-with","title":"BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment","date":"2022-04-18","arxiv_id":"2204.08332","n_code_links":1,"syntology":{"ran":12,"of":13,"n_ran_checked":8,"n_instrument":4,"unverified":1,"pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["algolzw/bsrt"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":"/paper/centernet-for-object-detection","slug":"centernet-for-object-detection","title":"CenterNet++ for Object Detection","date":"2022-04-18","arxiv_id":"2204.08394","n_code_links":3,"syntology":null},{"paper":"/paper/cylin-painting-seamless-360deg-panoramic","slug":"cylin-painting-seamless-360deg-panoramic","title":"Cylin-Painting: Seamless {360\\textdegree} Panoramic Image Outpainting and Beyond","date":"2022-04-18","arxiv_id":"2204.08563","n_code_links":1,"syntology":null},{"paper":"/paper/fast-and-memory-efficient-network-towards","slug":"fast-and-memory-efficient-network-towards","title":"Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution","date":"2022-04-18","arxiv_id":"2204.08397","n_code_links":2,"syntology":{"ran":7,"of":8,"n_ran_checked":4,"n_instrument":3,"unverified":1,"pointer_only":0,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","official":{"repos":["nju-jet/fmen"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"paper":null,"slug":"parallel-network-with-channel-attention-and","title":"Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images","date":"2022-04-18","arxiv_id":"2204.08127","n_code_links":0,"syntology":null},{"paper":"/paper/revisiting-consistency-regularization-for-1","slug":"revisiting-consistency-regularization-for-1","title":"Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images","date":"2022-04-18","arxiv_id":"2204.08454","n_code_links":1,"syntology":null},{"paper":null,"slug":"automatic-spinal-curvature-measurement-on","title":"Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN","date":"2022-04-17","arxiv_id":"2204.07988","n_code_links":0,"syntology":null}],"record_sha256":"ca6051c9a4c35956c8b9187fcc6087db63d316cc9208a8887fde3674766892c2","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}