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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3132289
Abstract: Deep neural networks targeting stereo disparity estimation have recently surpassed the performance of hand-crafted traditional models. However, training these networks require large labeled databases for obtaining accurate disparity estimates. In this letter, we address the…
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Keywords:
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synthetic data;
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