Milo Knowles

Toward Robust and Efficient Online Adaptation for Deep Stereo Depth Estimation

Although deep neural networks have achieved state-of-the-art performance for stereo depth estimation, they can suffer from a significant drop in accuracy when tested on images from novel domains. Recent work has shown that self-supervised online adaptation is a promising approach for closing this pe…