Synthetic-to-Real Domain Adaptation Joint Spatial Feature Transform for Stereo Matching
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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… read more here.
Keywords: domain adaptation; real domain; domain; stereo matching ... See more keywords