AdaAct employs a HOI encoder and two-branch hypernetwork to adaptively adjust temporal encoding parameters based on video-level human-object interactions for improved weakly-supervised action segmentation.
Weakly supervised learning of actions from transcripts.Computer Vision and Image Understanding, 163:78–89,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
AdaAct employs a HOI encoder and two-branch hypernetwork to adaptively adjust temporal encoding parameters based on video-level human-object interactions for improved weakly-supervised action segmentation.