Papers › ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

21 May 2021CVPR 2021 1arXiv:2105.10154archive 2025-07-28

Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang

Human pose estimation has achieved significant progress in recent years. However, most of the recent methods focus on improving accuracy using complicated models and ignoring real-time efficiency. To achieve a better trade-off between accuracy and efficiency, we propose a novel neural architecture search (NAS) method, termed ViPNAS, to search networks in both spatial and temporal levels for fast online video pose estimation. In the spatial level, we carefully design the search space with five different dimensions including network depth, width, kernel size, group number, and attentions. In the temporal level, we search from a series of temporal feature fusions to optimize the total accuracy and speed across multiple video frames. To the best of our knowledge, we are the first to search for the temporal feature fusion and automatic computation allocation in videos. Extensive experiments demonstrate the effectiveness of our approach on the challenging COCO2017 and PoseTrack2018 datasets. Our discovered model family, S-ViPNAS and T-ViPNAS, achieve significantly higher inference speed (CPU real-time) without sacrificing the accuracy compared to the previous state-of-the-art methods.

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luminxu/ViPNAS officialmentioned on GitHubpytorchMIT report
Insaniauser/ViPNAS_mindspore mindsporeApache-2.0 report
open-mmlab/mmpose pytorchApache-2.0 report

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process_face_det_results luminxu/ViPNAS/demo/face_img_demo.py official repository unverified MIT (permissive) · 000768447d5adf6c · report
process_mmdet_results luminxu/ViPNAS/demo/top_down_img_demo_with_mmdet.py official repository unverified MIT (permissive) · 2b42edd873dec4be · report
flip_back Insaniauser/ViPNAS_mindspore/vipnas_heatmap_simple_head.py community (archive-listed) unverified Apache-2.0 (permissive) · b233be21e561cea7 · report
keypoint_pck_accuracy Insaniauser/ViPNAS_mindspore/vipnas_heatmap_simple_head.py community (archive-listed) unverified Apache-2.0 (permissive) · 013910f6b74f646c · report
oks_iou Insaniauser/ViPNAS_mindspore/vipnas_image_load.py community (archive-listed) unverified Apache-2.0 (permissive) · 2c442c9510c3730d · report
oks_nms Insaniauser/ViPNAS_mindspore/vipnas_image_load.py community (archive-listed) unverified Apache-2.0 (permissive) · 8deae1f6709d3f56 · report
pose_pck_accuracy Insaniauser/ViPNAS_mindspore/vipnas_heatmap_simple_head.py community (archive-listed) unverified Apache-2.0 (permissive) · 0fda65413560cdd1 · report
soft_oks_nms Insaniauser/ViPNAS_mindspore/vipnas_image_load.py community (archive-listed) unverified Apache-2.0 (permissive) · 1d92f8786335935f · report

Tasks

Neural Architecture SearchPose Estimation

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 AP 73.9 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 AP50 91.7 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 AP75 82 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 APL 79.5 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 APM 70.5 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-HRNetW32 AR 80.4 #24 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 AP 70.3 #33 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 AP50 90.7 #33 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 AP75 78.8 #33 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 APL 75.5 #33 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 APM 67.3 #33 of 47 Archive leaderboard report
Pose Estimation COCO test-dev S-ViPNAS-Res50 AR 77.3 #33 of 47 Archive leaderboard report

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