{"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/deepprior-improving-fast-and-accurate-3d-hand","title":"DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation","arxiv_id":"1708.08325","date":"2017-08-28","proceeding":null,"authors":["Markus Oberweger","Vincent Lepetit"],"abstract":"DeepPrior is a simple approach based on Deep Learning that predicts the joint\n3D locations of a hand given a depth map. Since its publication early 2015, it\nhas been outperformed by several impressive works. Here we show that with\nsimple improvements: adding ResNet layers, data augmentation, and better\ninitial hand localization, we achieve better or similar performance than more\nsophisticated recent methods on the three main benchmarks (NYU, ICVL, MSRA)\nwhile keeping the simplicity of the original method. Our new implementation is\navailable at https://github.com/moberweger/deep-prior-pp .","url_abs":"http://arxiv.org/abs/1708.08325v1","url_pdf":"http://arxiv.org/pdf/1708.08325v1.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":"deepprior-improving-fast-and-accurate-3d-hand","repo_url":"https://github.com/moberweger/deep-prior-pp","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"deepprior-improving-fast-and-accurate-3d-hand","repo_url":"https://github.com/RonLek/FastV2C-HandNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deepprior-improving-fast-and-accurate-3d-hand","repo_url":"https://github.com/dumyy/handpose","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"deepprior-improving-fast-and-accurate-3d-hand","repo_url":"https://github.com/mks0601/V2V-PoseNet_RELEASE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"3d-hand-pose-estimation","task_name":"3D Hand Pose Estimation"},{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"hand-pose-estimation","task_name":"Hand Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"bottleneck-residual-block","method_name":"Bottleneck Residual Block"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"global-average-pooling","method_name":"Global Average Pooling"},{"method_slug":"kaiming-initialization","method_name":"Kaiming Initialization"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"residual-block","method_name":"Residual Block"},{"method_slug":"residual-connection","method_name":"Residual Connection"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/hand-pose-estimation-on-icvl-hands","task":"Hand Pose Estimation","dataset":"ICVL Hands","model":"DeepPrior++","rank_in_archive_order":15,"of":15,"metrics":{"Average 3D Error":" 8.1"},"uses_additional_data":false},{"leaderboard":"/sota/hand-pose-estimation-on-msra-hands","task":"Hand Pose Estimation","dataset":"MSRA Hands","model":"DeepPrior++","rank_in_archive_order":10,"of":11,"metrics":{"Average 3D Error":" 9.5"},"uses_additional_data":false},{"leaderboard":"/sota/hand-pose-estimation-on-nyu-hands","task":"Hand Pose Estimation","dataset":"NYU Hands","model":"DeepPrior++","rank_in_archive_order":15,"of":17,"metrics":{"Average 3D Error":"12.3"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1708.08325","atlas_url":"https://app.syntology.ai/?focus=1708.08325","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}