Rethinking 3D cost aggregation in stereo matching

Pattern Recognition Letters(2023)

引用 2|浏览24
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摘要
•Rethinking the 3D convolution in stereo matching tasks with a detailed ablation study•A depth shift module is proposed to reduce the computational cost in cost aggregation•HybridNet has a better trade-off between performance, computational complexity, and model size•The semi-supervised loss could effectively alleviate the artifact problem.
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关键词
Stereo matching,Disparity estimation,Shift operation,3D Convolution
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