RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning. (arXiv:2209.08630v1 [cs.CV])

Recently, vehicle similarity learning, also called re-identification (ReID),
has attracted significant attention in computer vision. Several algorithms have
been developed and obtained considerable success. However, most existing
methods have unpleasant performance in the hazy scenario due to poor
visibility. Though some strategies are possible to resolve this problem, they
still have room to be improved due to the limited performance in real-world
scenarios and the lack of real-world clear ground truth. Thus, to resolve this
problem, inspired by CycleGAN, we …

arxiv semi-supervised semi-supervised learning supervised learning