Transformer Tracking with Cyclic Shifting Window Attention
Author:
Affiliation:
1. Huazhong University of Science and Technology,China
2. La Trobe University,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878846.pdf?arnumber=9878846
Reference52 articles.
1. Max-deeplab: End-to-end panoptic seg-mentation with mask transformers;wang;Proceedings of the CVPR,0
2. Tracking by Instance Detection: A Meta-Learning Approach
3. Deep attentive tracking via reciprocative learning;pu;NeurIPS,2018
4. Learning Multi-domain Convolutional Neural Networks for Visual Tracking
5. TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild
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