Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching

Neural Information Processing Systems 

Stereo matching aims to find horizontal pixel-wise displacement, i.e .disparity, between a rectified stereo image pair to recover depth for applications including autonomous driving, robotics, and augmented reality.

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