Vehicle re-Identification aims to identify the samevehicle across the different cameras. It has useful applicationsin surveillance and intelligent transport systems. One of thefundamental challenges of vehicle re-identification is how tolearn robust and discriminative visual features given in smallinter-class similarity and large intra-class differences that don’tfollow the same distribution. In this project we propose to treatthe re-identification problem as a domain adaptation task. We implemented the Deep Joint Domain Adaptation algorithm totrain a model that could robustly detect the same classes evenwhen the images were obtained in different conditions.
- Python 3
- PyTorch
- PIL
- Matplotlib
- VeRi-776
- Download the data and save in
./data/VeRifolder