Temporal Action Segmentation: An Analysis of Modern Techniques
Author:
Affiliation:
1. School of Computing, National University of Singapore, Singapore
2. Meta Reality Labs, Burlingame, CA, USA
Funder
National Research Foundation Singapore
NRF Fellowship for AI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10384454/10294187.pdf?arnumber=10294187
Reference168 articles.
1. Image Segmentation Using Deep Learning: A Survey
2. SlowFast Networks for Video Recognition
3. TSM: Temporal Shift Module for Efficient Video Understanding
4. Keeping your eye on the ball: Trajectory attention in video transformers;Patrick
5. A Comprehensive Survey of Vision-Based Human Action Recognition Methods
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