Vehicle Re-identification

Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network

Vehicle re-identification (re-ID) focuses on matching images of the same vehicle across different cameras. It is fundamentally challenging because differences between vehicles are sometimes subtle. While several studies incorporate spatial-attention …

Supervised Joint Domain Learning for Vehicle Re-Identification

in conjunction with 2019 NVIDIA AI City Challenge

Vehicle Re-identification with the Space-Time Prior

Vehicle re-identification (Re-ID) is fundamentally challenging due to the difficulties in data labeling, visual domain mismatch between datasets and diverse appearance of the same vehicle. We propose the adaptive feature learning technique based on …