Reusable Architecture Growth for Continual Stereo Matching

Chenghao Zhang, Gaofeng Meng, Bin Fan +4

The remarkable performance of recent stereo depth estimation models benefits from the successful use of convolutional neural networks to regress dense disparity. Akin to most tasks…