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インサイト - Video-based human pose estimation
Efficient Video-Based Human Pose Regression with Decoupled Space-Time Aggregation
The proposed Decoupled Space-Time Aggregation (DSTA) network efficiently models the spatial and temporal dependencies of human pose joints in video sequences, outperforming previous regression-based methods and achieving performance on par with state-of-the-art heatmap-based methods.
Kinematics Modeling Network for Robust Video-based Human Pose Estimation
The proposed Kinematics Modeling Network (KIMNet) explicitly models the temporal correlation between joints across different frames to improve the robustness and accuracy of video-based human pose estimation.
