Accurate and Efficient Stereo Matching via Attention Concatenation Volume. (arXiv:2209.12699v2 [cs.CV] UPDATED)

Stereo matching is a fundamental building block for many vision and robotics
applications. An informative and concise cost volume representation is vital
for stereo matching of high accuracy and efficiency. In this paper, we present
a novel cost volume construction method, named attention concatenation volume
(ACV), which generates attention weights from correlation clues to suppress
redundant information and enhance matching-related information in the
concatenation volume. The ACV can be seamlessly embedded into most stereo
matching networks, the resulting networks can …

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