To assist stereo matching with the semantic information obtained from pseudo segmentation, we inject the feature maps at the end of the pseudo segmentation sub-network into the cost volume that is used to infer the pixel-level disparity.
Mar 11, 2022 · In this letter, we propose to use a pseudo segmentation sub-network to extract additional semantic information. More specifically, we divide the ...
Abstract ; Publication: IEEE Signal Processing Letters ; Pub Date: 2022 ; DOI: 10.1109/LSP.2022.3158586 ; Bibcode: 2022ISPL...29..837H.
Pseudo Segmentation for Semantic Information Aware Stereo Matching http://okokprojects.com/ IEEE PROJECTS 2022-2023 TITLE LIST WhatsApp : +91-8144199666 ...
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Apr 25, 2024 · Pseudo Segmentation for Semantic Information-Aware Stereo Matching. IEEE Signal Process. Lett. 29: 837-841 (2022). [+][–]. Coauthor network.
PDF | We present a two-fold fusion framework that constructs comprehensive cost-volumes for stereo matching. To this end, we develop fusion schemes at.
Welcome to the "Awesome-Deep-Stereo-Matching" repository, a curated list of state-of-the-art deep stereo matching resources maintained by Fabio Tosi, ...
To address this issue, we propose a novel local stereo matching method based on side window filtering technique, namely LSMSW. In the proposed method, the ...
Apr 9, 2024 · Stereo matching has become a key technique for 3D environment perception in intelligent vehicles. For a considerable time, convolutional neural ...
We present a two-fold fusion framework that constructs comprehensive cost-volumes for stereo matching. To this end, we develop fusion schemes at two key ...