GiT: Graph Interactive Transformer for Vehicle Re-Identification
Author:
Affiliation:
1. College of Engineering, Huaqiao University, Quanzhou, China
2. School of Computer and Communication Engineering, University of Science and Technology at Beijing, Haidian, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Natural Science Foundation for Outstanding Young Scholars of Fujian Province
Collaborative Innovation Platform Project of Fuzhou-Xiamen-Quanzhou National Independent Innovation Demonstration Zone
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10026500.pdf?arnumber=10026500
Reference104 articles.
1. Cross domain knowledge learning with dual-branch adversarial network for vehicle re-identification
2. Multi-scale Vehicle Re-identification Using Self-adapting Label Smoothing Regularization
3. Detecting Text in Scene and Traffic Guide Panels With Attention Anchor Mechanism
4. VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification
5. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification
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