Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
Hamza Khan,Sanjay Haresh,Awais Ahmed,Shakeeb Siddiqui,Andrey Konin,M. Zeeshan Zia,Quoc-Huy Tran,Hamza Khan,Sanjay Haresh,Awais Ahmed,Shakeeb Siddiqui,Andrey Konin,M. Zeeshan Zia,Quoc-Huy Tran
We introduce a novel approach for temporal activity segmentation with timestamp supervision. Our main contribution is a graph convolutional network, which is learned in an end-to-end manner to exploit both frame features and connections between neighboring frames to generate dense framewise labels from sparse timestamp labels. The gener-ated dense framewise labels can then be used to train the seg...
