Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 10; pp. 6854 - 6871
• Main Authors: Bai, Yan, Liu, Jun, Lou, Yihang, Wang, Ce, Duan, Ling-Yu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Benchmark testing; Benchmarks; Cameras; Datasets; disentangled learning; Feature extraction; Learning; Lighting; Matching; Meteorology; Orientation; Surveillance; Test sets; Training; vehicle dataset; Vehicle re-identification; Weather

Vehicle Re-Identification (ReID) is of great significance for public security and intelligent transportation. Large and comprehensive datasets are crucial for the development of vehicle ReID in model training and evaluation. However, existing datasets in this field have limitations in many aspects,...