Autoregressive Visual Tracking
Author:
Affiliation:
1. Xi'an Jiaotong University
2. Zhejiang University
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203564.pdf?arnumber=10203564
Reference69 articles.
1. MixFormer: End-to-End Tracking with Iterative Mixed Attention
2. Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
3. Fully convolutional online tracking
4. Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
5. ATOM: Accurate Tracking by Overlap Maximization
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