TCTrack: Temporal Contexts for Aerial Tracking
Author:
Affiliation:
1. Tongji University
2. National University of Singapore
3. S-Lab, Nanyang Technological University
4. DAMO Academy, Alibaba Group
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878859.pdf?arnumber=9878859
Reference80 articles.
1. Learning Dynamic Mem-ory Networks for Object Tracking;yang;ECCV,2018
2. Learning Spatio-Temporal Transformer for Vi-sual Tracking;yan;CVPR,2021
3. SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
4. Non-local Neural Networks
5. Multi-task Correlation Particle Filter for Robust Object Tracking
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