{"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":"/task/keypoint-detection/papers/4","list_of":"/task/keypoint-detection","task":"Keypoint Detection","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":4,"pages_in_order":4,"rows_per_page":100,"rows":[301,339],"of":339,"counts":{"archive_papers_tagged":339,"with_a_code_link":180,"where_syntology_ran_a_sample":50,"not_listed_spam_title":0,"listed":339,"listed_where_code_ran":50,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":45,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":45,"listed_every_run_a_failure_of_syntologys_instrument":5,"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":"/task/keypoint-detection","prev":"/task/keypoint-detection/papers/3","next":null,"papers":[{"url":null,"slug":"geolayout-geometry-driven-room-layout","title":"GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes","date":"2020-08-14","arxiv_id":"2008.06286","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-to-detect-brain","title":"Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images","date":"2020-08-06","arxiv_id":"2008.02708","repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-point-r-cnn","title":"Joint Object Contour Points and Semantics for Instance Segmentation","date":"2020-08-02","arxiv_id":"2008.00460","repositories_listed":0,"syntology":null},{"url":"/paper/differentiable-hierarchical-graph-grouping","slug":"differentiable-hierarchical-graph-grouping","title":"Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation","date":"2020-07-23","arxiv_id":"2007.11864","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-mutual-information-in-contrastive-learning","title":"On Mutual Information in Contrastive Learning for Visual Representations","date":"2020-05-27","arxiv_id":"2005.13149","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-local-features-with-context","title":"Learning Local Features with Context Aggregation for Visual Localization","date":"2020-05-26","arxiv_id":"2005.12880","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-person-pose-estimation-with-enhanced-1","title":"Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection","date":"2020-03-20","arxiv_id":"2003.10238","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-accuracy-face-geometry-capture-using-a","title":"High Accuracy Face Geometry Capture using a Smartphone Video","date":"2020-03-19","arxiv_id":"2003.08583","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-coco-and-mapillary-workshop-at-iccv","title":"Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation","date":"2020-03-13","arxiv_id":"2003.07232","repositories_listed":0,"syntology":null},{"url":null,"slug":"ur2kid-unifying-retrieval-keypoint-detection","title":"UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision","date":"2020-01-20","arxiv_id":"2001.07252","repositories_listed":0,"syntology":null},{"url":null,"slug":"skd-unsupervised-keypoint-detecting-for-point","title":"SKD: Keypoint Detection for Point Clouds using Saliency Estimation","date":"2019-12-10","arxiv_id":"1912.04943","repositories_listed":0,"syntology":null},{"url":null,"slug":"kpam-sc-generalizable-manipulation-planning","title":"kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion","date":"2019-09-16","arxiv_id":"1909.06980","repositories_listed":0,"syntology":null},{"url":null,"slug":"computer-aided-automated-detection-of-gene","title":"Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila","date":"2019-09-11","arxiv_id":"1909.04974","repositories_listed":0,"syntology":null},{"url":null,"slug":"dnanet-de-normalized-attention-based-multi","title":"Learning Enhanced Resolution-wise features for Human Pose Estimation","date":"2019-09-11","arxiv_id":"1909.05090","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-cnn-and-classic-features-for","title":"A Comparison of CNN and Classic Features for Image Retrieval","date":"2019-08-25","arxiv_id":"1908.09300","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-landmarks-from-unaligned-data-using","title":"Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos","date":"2019-07-03","arxiv_id":"1907.02055","repositories_listed":0,"syntology":null},{"url":null,"slug":"orthogonal-decomposition-network-for-pixel","title":"Orthogonal Decomposition Network for Pixel-Wise Binary Classification","date":"2019-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-object-detection-via-geometric","title":"Monocular 3D Object Detection via Geometric Reasoning on Keypoints","date":"2019-05-14","arxiv_id":"1905.05618","repositories_listed":0,"syntology":null},{"url":null,"slug":"kptransfer-improved-performance-and-faster","title":"KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation","date":"2019-03-24","arxiv_id":"1903.09926","repositories_listed":0,"syntology":null},{"url":null,"slug":"blur-countering-keypoint-detection-via","title":"Blur-Countering Keypoint Detection via Eigenvalue Asymmetry","date":"2018-09-05","arxiv_id":"1809.01456","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-supervised-network-for-human-pose","title":"Multi-Scale Supervised Network for Human Pose Estimation","date":"2018-08-05","arxiv_id":"1808.01623","repositories_listed":0,"syntology":null},{"url":"/paper/learning-to-refine-human-pose-estimation","slug":"learning-to-refine-human-pose-estimation","title":"Learning to Refine Human Pose Estimation","date":"2018-04-21","arxiv_id":"1804.07909","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-deep-learning-based-hand-keypoints","title":"Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images","date":"2018-04-03","arxiv_id":"1804.01174","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-learning-of-keypoint-detector-and","title":"End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching","date":"2018-02-22","arxiv_id":"1802.07869","repositories_listed":0,"syntology":null},{"url":null,"slug":"disguised-face-identification-dfi-with-facial","title":"Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network","date":"2017-08-30","arxiv_id":"1708.09317","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-convolution-tree-with-deconvolution","title":"A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection","date":"2017-04-06","arxiv_id":"1704.01880","repositories_listed":0,"syntology":null},{"url":"/paper/kepler-keypoint-and-pose-estimation-of","slug":"kepler-keypoint-and-pose-estimation-of","title":"KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors","date":"2017-02-16","arxiv_id":"1702.05085","repositories_listed":0,"syntology":null},{"url":"/paper/towards-accurate-multi-person-pose-estimation","slug":"towards-accurate-multi-person-pose-estimation","title":"Towards Accurate Multi-person Pose Estimation in the Wild","date":"2017-01-06","arxiv_id":"1701.01779","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fast-keypoint-based-hybrid-method-for-copy","title":"A Fast Keypoint Based Hybrid Method for Copy Move Forgery Detection","date":"2016-12-11","arxiv_id":"1612.03989","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-keypoint-detection-based-on-deep-neural","title":"3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder","date":"2016-04-30","arxiv_id":"1605.00129","repositories_listed":0,"syntology":null},{"url":null,"slug":"cluster-based-point-set-saliency","title":"Cluster-Based Point Set Saliency","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-descriptor-specific-3d-keypoint","title":"Learning a Descriptor-Specific 3D Keypoint Detector","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-visibility-of-point-clouds","title":"On the Visibility of Point Clouds","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-the-factors-affecting-keypoint","title":"An analysis of the factors affecting keypoint stability in scale-space","date":"2015-11-26","arxiv_id":"1511.08478","repositories_listed":0,"syntology":null},{"url":null,"slug":"keypoint-encoding-for-improved-feature","title":"Keypoint Encoding for Improved Feature Extraction from Compressed Video at Low Bitrates","date":"2015-06-27","arxiv_id":"1506.08316","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-keypoint-detection-in-video-sequences","title":"Fast keypoint detection in video sequences","date":"2015-03-24","arxiv_id":"1503.06959","repositories_listed":0,"syntology":null},{"url":"/paper/viewpoints-and-keypoints","slug":"viewpoints-and-keypoints","title":"Viewpoints and Keypoints","date":"2014-11-22","arxiv_id":"1411.6067","repositories_listed":0,"syntology":null},{"url":"/paper/do-convnets-learn-correspondence","slug":"do-convnets-learn-correspondence","title":"Do Convnets Learn Correspondence?","date":"2014-11-04","arxiv_id":"1411.1091","repositories_listed":0,"syntology":null},{"url":null,"slug":"hopc-histogram-of-oriented-principal","title":"HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition","date":"2014-08-17","arxiv_id":"1408.3809","repositories_listed":0,"syntology":null}],"record_sha256":"40a526e8877ee81bdb0ba82f13f37a4a814be59d0c6754bde7501058f1aa93e4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}