WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
Jiyuan Wang,Chunyu Lin,Lang Nie,Shujun Huang,Yao Zhao,Xing Pan,Rui Ai,Jiyuan Wang,Chunyu Lin,Lang Nie,Shujun Huang,Yao Zhao,Xing Pan,Rui Ai
Depth estimation models have shown promising performance on clear scenes but fail to generalize to adverse weather conditions due to illumination variations, weather particles, etc. In this paper, we propose WeatherDepth, a self-supervised robust depth estimation model with curriculum contrastive learning, to tackle performance degradation in complex weather conditions. Concretely, we first presen...
