{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/deep-high-resolution-representation-learning","title":"Deep High-Resolution Representation Learning for Human Pose Estimation","arxiv_id":"1902.09212","date":"2019-02-25","proceeding":"CVPR 2019 6","authors":["Ke Sun","Bin Xiao","Dong Liu","Jingdong Wang"],"abstract":"This is an official pytorch implementation of Deep High-Resolution\nRepresentation Learning for Human Pose Estimation. In this work, we are\ninterested in the human pose estimation problem with a focus on learning\nreliable high-resolution representations. Most existing methods recover\nhigh-resolution representations from low-resolution representations produced by\na high-to-low resolution network. Instead, our proposed network maintains\nhigh-resolution representations through the whole process. We start from a\nhigh-resolution subnetwork as the first stage, gradually add high-to-low\nresolution subnetworks one by one to form more stages, and connect the\nmutli-resolution subnetworks in parallel. We conduct repeated multi-scale\nfusions such that each of the high-to-low resolution representations receives\ninformation from other parallel representations over and over, leading to rich\nhigh-resolution representations. As a result, the predicted keypoint heatmap is\npotentially more accurate and spatially more precise. We empirically\ndemonstrate the effectiveness of our network through the superior pose\nestimation results over two benchmark datasets: the COCO keypoint detection\ndataset and the MPII Human Pose dataset. The code and models have been publicly\navailable at\n\\url{https://github.com/leoxiaobin/deep-high-resolution-net.pytorch}.","url_abs":"http://arxiv.org/abs/1902.09212v1","url_pdf":"http://arxiv.org/pdf/1902.09212v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/leoxiaobin/deep-high-resolution-net.pytorch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/Microsoft/human-pose-estimation.pytorch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/CASIA-IVA-Lab/ISP-reID","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-Facial-Landmark-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-Human-Pose-Estimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-Image-Classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-MaskRCNN-Benchmark","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-Object-Detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/HRNet/HRNet-Semantic-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/Mary-xl/HRnet_Kaggle_iNat2019_FGVC","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/NU-LL/lighttrack-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/NVlabs/PAMTRI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/Vill-Lab/2022-TIP-HCGA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/abhi1kumar/hrnet_pose_single_gpu","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/anshky/HR-NET","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/baoshengyu/deep-high-resolution-net.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/chuanqichen/deepcoaching","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/ducongju/HRNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/goutern/PoseEstimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/gox-ai/hrnet-pose-api","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/k-miran/hear","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/ken724049/action-recognition","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/laowang666888/HRNET","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/leeyegy/SimDR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/leeyegy/simcc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/mks0601/PoseFix_RELEASE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/sdll/hrnet-pose-estimation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/strivebo/image_segmentation_dl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/thomasslloyd/FitSpatial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/v1viswan/Domain_adaptation_in_HRNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/visionNoob/hrnet_pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/wsjzha/deep-high-resolution-net.pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/PaddlePaddle/PaddleDetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":null},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/mindspore-lab/mindone","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":{"status":"gone","observed_at":"2026-09-17","how":"tree_404+repo_404"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/open-mmlab/mmdetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/open-mmlab/mmpose","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/osmr/imgclsmob","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mxnet","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"deep-high-resolution-representation-learning","repo_url":"https://github.com/thoughtmachines/Human-Pose-Estimation-using-HRNets","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}}],"tasks":[{"task_slug":"2d-human-pose-estimation","task_name":"2D Human Pose Estimation"},{"task_slug":"2d-pose-estimation","task_name":"2D Pose Estimation"},{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"instance-segmentation","task_name":"Instance Segmentation"},{"task_slug":"keypoint-detection","task_name":"Keypoint Detection"},{"task_slug":"multi-person-pose-estimation","task_name":"Multi-Person Pose Estimation"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"pose-tracking","task_name":"Pose Tracking"},{"task_slug":"representation-learning","task_name":"Representation Learning"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[{"method_slug":"heatmap","method_name":"Heatmap"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/2d-human-pose-estimation-on-coco-wholebody-1","task":"2D Human Pose Estimation","dataset":"COCO-WholeBody","model":"HRNet","rank_in_archive_order":12,"of":15,"metrics":{"WB":"43.2","body":"65.9","face":" 52.3","foot":"31.4","hand":"30.0"},"uses_additional_data":true},{"leaderboard":"/sota/2d-human-pose-estimation-on-human-art","task":"2D Human Pose Estimation","dataset":"Human-Art","model":"HRNet-w48","rank_in_archive_order":5,"of":10,"metrics":{"AP":"0.417","AP (gt bbox)":"0.769"},"uses_additional_data":false},{"leaderboard":"/sota/2d-human-pose-estimation-on-human-art","task":"2D Human Pose Estimation","dataset":"Human-Art","model":"HRNet-w32","rank_in_archive_order":7,"of":10,"metrics":{"AP":"0.399","AP (gt bbox)":"0.754"},"uses_additional_data":false},{"leaderboard":"/sota/2d-pose-estimation-on-harper","task":"2D Pose Estimation","dataset":"HARPER","model":"HRNet","rank_in_archive_order":1,"of":1,"metrics":{"PCK":"86,8"},"uses_additional_data":false},{"leaderboard":"/sota/3d-pose-estimation-on-harper","task":"3D Pose Estimation","dataset":"HARPER","model":"HRNet + Depth","rank_in_archive_order":1,"of":1,"metrics":{"Average MPJPE (mm)":"151"},"uses_additional_data":false},{"leaderboard":"/sota/instance-segmentation-on-coco-minival","task":"Instance Segmentation","dataset":"COCO minival","model":"HTC (HRNetV2p-W48)","rank_in_archive_order":68,"of":93,"metrics":{"mask AP":"41.0"},"uses_additional_data":false},{"leaderboard":"/sota/keypoint-detection-on-coco","task":"Keypoint Detection","dataset":"COCO (Common Objects in Context)","model":"HRNet-48(384x288)","rank_in_archive_order":9,"of":24,"metrics":{"Test AP":"75.5","Validation AP":"76.3"},"uses_additional_data":false},{"leaderboard":"/sota/keypoint-detection-on-coco","task":"Keypoint Detection","dataset":"COCO (Common Objects in Context)","model":"HRNet-32","rank_in_archive_order":21,"of":24,"metrics":{"Validation AP":"75.8"},"uses_additional_data":false},{"leaderboard":"/sota/keypoint-detection-on-coco-test-dev","task":"Keypoint Detection","dataset":"COCO test-dev","model":"HRNet*","rank_in_archive_order":1,"of":16,"metrics":{"AP50":"92.7","AP75":"84.5","APL":"83.1","APM":"73.4","AR":"82.0"},"uses_additional_data":false},{"leaderboard":"/sota/keypoint-detection-on-coco-test-dev","task":"Keypoint Detection","dataset":"COCO test-dev","model":"HRNet","rank_in_archive_order":4,"of":16,"metrics":{"AP50":"92.5","AP75":"83.3","APL":"81.5","APM":"71.9","AR":"80.5"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-aic","task":"Pose Estimation","dataset":"AIC","model":"HRNet (HRNet-w48\t)","rank_in_archive_order":5,"of":10,"metrics":{"AP":"33.5","AP50":"78.0","AP75":"23.6","AR":"37.9","AR50":"80.0"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-aic","task":"Pose Estimation","dataset":"AIC","model":"HRNet (HRNet-w32)","rank_in_archive_order":6,"of":10,"metrics":{"AP":"32.3","AP50":"76.2","AP75":"21.9","AR":"36.6","AR50":"78.9"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-brace","task":"Pose Estimation","dataset":"BRACE","model":"HRNet fine-tuned on BRACE","rank_in_archive_order":1,"of":2,"metrics":{"Average Precision":"0.357","Average Recall":"0.445"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-brace","task":"Pose Estimation","dataset":"BRACE","model":"HRNet pre-trained on COCO","rank_in_archive_order":2,"of":2,"metrics":{"Average Precision":"0.158","Average Recall":"0.202"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-coco-test-dev","task":"Pose Estimation","dataset":"COCO test-dev","model":"HRNet-W48 + extra data","rank_in_archive_order":12,"of":47,"metrics":{"AP":"77","AP50":"92.7","AP75":"84.5","APL":"83.1","APM":"73.4","AR":"82"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-coco-val2017","task":"Pose Estimation","dataset":"COCO val2017","model":"HRNet (256x192)","rank_in_archive_order":7,"of":11,"metrics":{"AP":"75.3","AP50":"-","AP75":"-","AR":"-"},"uses_additional_data":false},{"leaderboard":"/sota/pose-estimation-on-mpii-human-pose","task":"Pose Estimation","dataset":"MPII Human Pose","model":"HRNet-W32","rank_in_archive_order":11,"of":46,"metrics":{"PCKh-0.5":"92.3"},"uses_additional_data":false},{"leaderboard":"/sota/pose-tracking-on-posetrack2017","task":"Pose Tracking","dataset":"PoseTrack2017","model":"HRNet-W48 COCO","rank_in_archive_order":4,"of":10,"metrics":{"MOTA":"57.93","mAP":"74.95"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.09212","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1902.09212"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ducongju/HRNet","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wsjzha/deep-high-resolution-net.pytorch","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/leeyegy/simcc","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/laowang666888/HRNET","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/open-mmlab/mmpose","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/leeyegy/SimDR","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/HRNet/HRNet-Human-Pose-Estimation","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gox-ai/hrnet-pose-api","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/HRNet/HRNet-Object-Detection","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ken724049/action-recognition","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Microsoft/human-pose-estimation.pytorch","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Mary-xl/HRnet_Kaggle_iNat2019_FGVC","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mks0601/PoseFix_RELEASE","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/open-mmlab/mmdetection","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/visionNoob/hrnet_pytorch","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/PaddlePaddle/PaddleDetection","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/HRNet/HRNet-Semantic-Segmentation","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Vill-Lab/2022-TIP-HCGA","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/NU-LL/lighttrack-","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/osmr/imgclsmob","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/CASIA-IVA-Lab/ISP-reID","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/thoughtmachines/Human-Pose-Estimation-using-HRNets","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/abhi1kumar/hrnet_pose_single_gpu","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/baoshengyu/deep-high-resolution-net.pytorch","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran_fixture":4,"ran_draft_wrong":4,"unverified":17},"by_repo_kind":{"official":{"samples":9,"ran":4,"repositories":1},"listed":{"samples":16,"ran":4,"repositories":5}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"b91b38261b03587d","entry":"calc_dists","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/core/evaluate.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/core/evaluate.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b91b38261b03587d"}},{"code_sha256_prefix":"451bcfd505206dce","entry":"calc_iou","repo":"HRNet/HRNet-MaskRCNN-Benchmark","repo_kind":"listed","path":"tools/test_net.py","file_url":"https://github.com/HRNet/HRNet-MaskRCNN-Benchmark/blob/HEAD/tools/test_net.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"451bcfd505206dce"}},{"code_sha256_prefix":"fac5364e2f53c6db","entry":"conv3x3","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/models/pose_resnet.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/models/pose_resnet.py","link_basis":"plan_row","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fac5364e2f53c6db"}},{"code_sha256_prefix":"1c2da88027e6e151","entry":"dist_acc","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/core/evaluate.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/core/evaluate.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1c2da88027e6e151"}},{"code_sha256_prefix":"c83d9f7fca950b77","entry":"euclidean_dist","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"layers/triplet_loss.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/layers/triplet_loss.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c83d9f7fca950b77"}},{"code_sha256_prefix":"55c58ef5f795e3d1","entry":"get_max_preds","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/core/inference.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/core/inference.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"55c58ef5f795e3d1"}},{"code_sha256_prefix":"e3b2a83f52101f2d","entry":"normalize","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"layers/triplet_loss.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/layers/triplet_loss.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e3b2a83f52101f2d"}},{"code_sha256_prefix":"bb37605b18846a6b","entry":"voting","repo":"HRNet/HRNet-MaskRCNN-Benchmark","repo_kind":"listed","path":"tools/test_net.py","file_url":"https://github.com/HRNet/HRNet-MaskRCNN-Benchmark/blob/HEAD/tools/test_net.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"bb37605b18846a6b"}},{"code_sha256_prefix":"d9b08c7049915445","entry":"aggregate_batch","repo":"mks0601/PoseFix_RELEASE","repo_kind":"listed","path":"lib/tfflat/net_utils.py","file_url":"https://github.com/mks0601/PoseFix_RELEASE/blob/HEAD/lib/tfflat/net_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d9b08c7049915445"}},{"code_sha256_prefix":"94ffb5d47eee6270","entry":"average_gradients","repo":"mks0601/PoseFix_RELEASE","repo_kind":"listed","path":"lib/tfflat/net_utils.py","file_url":"https://github.com/mks0601/PoseFix_RELEASE/blob/HEAD/lib/tfflat/net_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"94ffb5d47eee6270"}},{"code_sha256_prefix":"5d13a519b4ca488b","entry":"clustering","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"deep_feature_clustersing.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/deep_feature_clustersing.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5d13a519b4ca488b"}},{"code_sha256_prefix":"0bdca114d99f4177","entry":"cpu_nms_wrapper","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/nms/nms.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/nms/nms.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0bdca114d99f4177"}},{"code_sha256_prefix":"18f7aa997852bcc0","entry":"get_model_name","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/core/config.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/core/config.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"18f7aa997852bcc0"}},{"code_sha256_prefix":"2534c81208f21998","entry":"get_pose_net","repo":"wsjzha/deep-high-resolution-net.pytorch","repo_kind":"listed","path":"lib/models/pose_hrnet.py","file_url":"https://github.com/wsjzha/deep-high-resolution-net.pytorch/blob/HEAD/lib/models/pose_hrnet.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"2534c81208f21998"}},{"code_sha256_prefix":"78015ae361e585ca","entry":"get_pose_net","repo":"visionNoob/hrnet_pytorch","repo_kind":"listed","path":"lib/models/pose_hrnet.py","file_url":"https://github.com/visionNoob/hrnet_pytorch/blob/HEAD/lib/models/pose_hrnet.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"78015ae361e585ca"}},{"code_sha256_prefix":"9dfb17266423d20d","entry":"get_pose_net","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/models/pose_resnet.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/models/pose_resnet.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9dfb17266423d20d"}},{"code_sha256_prefix":"27cc68d97f7be674","entry":"get_variables_in_checkpoint_file","repo":"mks0601/PoseFix_RELEASE","repo_kind":"listed","path":"lib/tfflat/saver.py","file_url":"https://github.com/mks0601/PoseFix_RELEASE/blob/HEAD/lib/tfflat/saver.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"27cc68d97f7be674"}},{"code_sha256_prefix":"167b862a31de0adf","entry":"gpu_nms_wrapper","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/nms/nms.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/nms/nms.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"167b862a31de0adf"}},{"code_sha256_prefix":"93f2c0b80ea7f36e","entry":"hard_example_mining","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"layers/triplet_loss.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/layers/triplet_loss.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"93f2c0b80ea7f36e"}},{"code_sha256_prefix":"c1ac4ee52106027c","entry":"make_graph","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"engine/clustering.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/engine/clustering.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c1ac4ee52106027c"}},{"code_sha256_prefix":"1508ae9fb90b8de1","entry":"pil_loader","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"engine/clustering.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/engine/clustering.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1508ae9fb90b8de1"}},{"code_sha256_prefix":"53f8b1e59f08664a","entry":"preprocess_features","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"engine/clustering.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/engine/clustering.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"53f8b1e59f08664a"}},{"code_sha256_prefix":"8551f210abffd79e","entry":"py_nms_wrapper","repo":"Microsoft/human-pose-estimation.pytorch","repo_kind":"official","path":"lib/nms/nms.py","file_url":"https://github.com/Microsoft/human-pose-estimation.pytorch/blob/HEAD/lib/nms/nms.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"8551f210abffd79e"}},{"code_sha256_prefix":"1be7fb0ef331f2a5","entry":"split_n","repo":"Vill-Lab/2022-TIP-HCGA","repo_kind":"listed","path":"deep_feature_clustersing.py","file_url":"https://github.com/Vill-Lab/2022-TIP-HCGA/blob/HEAD/deep_feature_clustersing.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1be7fb0ef331f2a5"}},{"code_sha256_prefix":"3eb931c10df5890d","entry":"sum_gradients","repo":"mks0601/PoseFix_RELEASE","repo_kind":"listed","path":"lib/tfflat/net_utils.py","file_url":"https://github.com/mks0601/PoseFix_RELEASE/blob/HEAD/lib/tfflat/net_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3eb931c10df5890d"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}