Junjun Jiang*

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

"Learning a self-supervised Monocular Depth Estimation (MDE) model with great generalization remains significantly challenging. Despite the success of adversarial augmentation in the supervised learning generalization, naively incorporating it into self-supervised MDE models potentially causes over-…