Weakly Supervised Action Segmentation (Transcript)
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Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
Weakly Supervised Energy-Based Learning for Action Segmentation
Fast Weakly Supervised Action Segmentation Using Mutual Consistency
Papers
Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning
Action segmentation plays an important role in enabling robots to automatically understand human activities. To train the action recognition model, while obtaining action labels for all frames is costly, annotating times…
Action RecognitionAction SegmentationSegmentationWeakly Supervised Action Localization+1FIFA: Fast Inference Approximation for Action Segmentation
We introduce FIFA, a fast approximate inference method for action segmentation and alignment. Unlike previous approaches, FIFA does not rely on expensive dynamic programming for inference. Instead, it uses an approximate…
Action SegmentationSegmentationWeakly Supervised Action Segmentation (Transcript)Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
We address the problem of learning to segment actions from weakly-annotated videos, i.e., videos accompanied by transcripts (ordered list of actions). We propose a framework in which we model actions with a union of …
Action SegmentationWeakly Supervised Action Segmentation (Transcript)Weakly Supervised Energy-Based Learning for Action Segmentation
This paper is about labeling video frames with action classes under weak supervision in training, where we have access to a temporal ordering of actions, but their start and end frames in training videos are unknown. Fol…
Action SegmentationSegmentationvalidVideo Segmentation+2Fast Weakly Supervised Action Segmentation Using Mutual Consistency
Action segmentation is the task of predicting the actions for each frame of a video. As obtaining the full annotation of videos for action segmentation is expensive, weakly supervised approaches that can learn only from …
Action SegmentationSegmentationWeakly Supervised Action Segmentation (Transcript)D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
We address weakly supervised action alignment and segmentation in videos, where only the order of occurring actions is available during training. We propose Discriminative Differentiable Dynamic Time Warping (D3TW), the …
Dynamic Time WarpingSegmentationWeakly Supervised Action Segmentation (Transcript)