SBF augments 2D skeletons with scale, body, and optical-flow maps predicted by SFSNet to raise accuracy in video-based human action recognition.
MARS: Motion-Augmented RGB Stream for Action Recognition.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 7874–7883
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SBF: An Effective Representation to Augment Skeleton for Video-based Human Action Recognition
SBF augments 2D skeletons with scale, body, and optical-flow maps predicted by SFSNet to raise accuracy in video-based human action recognition.