Self-Attention Based Action Segmentation Using Intra-And Inter-Segment Representations
Author:
Affiliation:
1. Technical University of Munich,School of Computation, Information and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096960.pdf?arnumber=10096960
Reference26 articles.
1. Learning Asynchronous and Sparse Human-Object Interaction in Videos
2. Graph Attention Based Proposal 3D ConvNets for Action Detection
3. Boundary-aware cascade networks for temporal action segmentation;wang;European Conference on Computer Vision (ECCV),2020
4. Refining Action Segmentation with Hierarchical Video Representations
5. Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation;IEEE Robotics and Automation Letters;2024-09
2. Long-Term Action Anticipation Based on Contextual Alignment;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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