A two-stage framework improves viewpoint-invariant and temporally consistent action detection in untrimmed videos by using virtual viewpoint augmentation at training time and a selective state-space temporal encoder, outperforming prior methods on PKU-MMD and BABEL.
Lac-latent action composition for skeleton-based ac- tion segmentation,
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Improving Viewpoint-Invariance and Temporal Consistency for Action Detection
A two-stage framework improves viewpoint-invariant and temporally consistent action detection in untrimmed videos by using virtual viewpoint augmentation at training time and a selective state-space temporal encoder, outperforming prior methods on PKU-MMD and BABEL.