UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect

• Published in: IEEE transactions on intelligent transportation systems Vol. 25; no. 2; pp. 1925 - 1937
• Main Authors: Huang, Junhao, Deng, Yuhui, Wang, Ke, Li, Zhangwei, Tang, Zhimin, Ding, Weiping
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Annotations; Benchmark testing; causal effect-based joint constraint; Computational modeling; computer vision; Feature extraction; Modules; Task analysis; Training; Unbiased feature orientation; vehicle re-identification

Vehicle re-identification is a crucial task that matches images of the same vehicle across different camera viewpoints. Many previous attention-based studies have approached this problem by exploring the regions of interest in vehicles. However, the generated attention in these models is susceptible...