MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation

Yue-Jiang Dong, Fang-Lue Zhang, Song-Hai Zhang

Depth perception is crucial for a wide range of robotic applications. Multi-frame self-supervised depth estimation methods have gained research interest due to their ability to lev…