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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3125264
Abstract: Most deep learning-based state-of-the-art stereo matching methods significantly depend on large-scale datasets. However, it is implausible to collect sufficient real-world samples with dense and clear ground-truth disparity maps in practice. Although synthetic datasets’ appearance has…
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Keywords:
domain adaptation;
real domain;
domain;
stereo matching ... See more keywords