Papers › Hand Image Understanding via Deep Multi-Task Learning

Hand Image Understanding via Deep Multi-Task Learning

24 Jul 2021ICCV 2021 10arXiv:2107.11646archive 2025-07-28

Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu

Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications and remains active in research community. There are various works focusing on recovering hand information from single image, however, they usually solve a single task, for example, hand mask segmentation, 2D/3D hand pose estimation, or hand mesh reconstruction and perform not well in challenging scenarios. To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks. To achieve this goal, a cascaded multi-task learning (MTL) backbone is designed to estimate the 2D heat maps, to learn the segmentation mask, and to generate the intermediate 3D information encoding, followed by a coarse-to-fine learning paradigm and a self-supervised learning strategy. Qualitative experiments demonstrate that our approach is capable of recovering reasonable mesh representations even in challenging situations. Quantitatively, our method significantly outperforms the state-of-the-art approaches on various widely-used datasets, in terms of diverse evaluation metrics.

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get_backbone MandyMo/HIU-DMTL/hand_detection/model/model.py official repository ran MIT (permissive) · c72842844140634a · report
Model MandyMo/HIU-DMTL/hand_detection/model/model.py official repository unverified MIT (permissive) · fdce4968186f142a · report

Tasks

3D Hand Pose EstimationHand Pose EstimationMulti-Task LearningPose EstimationSelf-Supervised Learning

Datasets

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HIU-DMTL-Data

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Hand Pose Estimation FreiHAND HIU-DMTL PA-F@15mm 0.974 #22 of 33 Archive leaderboard report
3D Hand Pose Estimation FreiHAND HIU-DMTL PA-F@5mm 0.699 #22 of 33 Archive leaderboard report
3D Hand Pose Estimation FreiHAND HIU-DMTL PA-MPJPE 7.1 #22 of 33 Archive leaderboard report
3D Hand Pose Estimation FreiHAND HIU-DMTL PA-MPVPE 7.3 #22 of 33 Archive leaderboard report

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