MoCha-Stereo: Motif Channel Attention Network for Stereo Matching

Understand

Learning-based stereo matching techniques have made significant progress.

• However, existing methods inevitably lose geometrical structure information during the feature channel generation process, resulting in edge detail mismatches.
• In this paper, the Motif Cha}nnel Attention Stereo Matching Network (MoCha-Stereo) is designed to address this problem.
• We provide the Motif Channel Correlation Volume (MCCV) to determine more accurate edge matching costs.