Feb 27, 2020 · Given a video, the SCV generates the MAP action segmentation that satisfies the ground truth. This prediction is used as a framewise pseudo ...
This paper addresses action segmentation by labeling video frames with action classes under set-level weak su- pervision in training. Set-supervised training ...
This paper is about weakly supervised action segmenta- tion, where the ground truth specifies only a set of actions present in a training video, ...
Our key contribution is a new anchor-constrained Viterbi algorithm (ACV) for generating the pseudo-ground truth, where anchors are salient action parts ...
Our key contribution is a new anchor-constrained. Viterbi algorithm (ACV) for generating the pseudo-ground truth, where anchors are salient action parts ...
This paper is about action segmentation under weak su- pervision in training, where the ground truth provides only a set of actions present, ...
Given a video, the SCV generates the MAP action segmentation that satisfies the ground truth. This prediction is used as a framewise pseudo ground truth in our ...
This paper specifies an HMM, which accounts for co-occurrences of action classes and their temporal lengths, and explicitly training the HMM on a ...
1. The fully supervised learning approaches are based on fully annotated classes and start-to-end frames of all the actions that occur sequentially in the video ...
This paper is about weakly supervised action segmentation, where ground truth specifies only a set of actions present in a training video.