Feb 11, 2019 · Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving ...
Abstract. Visual depth recognition through Stereo Matching is an ac- tive field of research due to the numerous applications in robotics, au-.
(PDF) Stereo Matching through Squeeze Deep Neural Networks
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Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, ...
Inspired on the Squeeze-Nets developed for image recognition, we developed a Stereo Matching Squeeze neural network architecture capable of providing disparity ...
Nov 14, 2018 · Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, ...
A curated list of state-of-the-art deep stereo matching resources maintained by Fabio Tosi, Matteo Poggi and Luca Bartolomei, from the University of Bologna.
Missing: Squeeze | Show results with:Squeeze
Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, ...
Apr 25, 2024 · Feature enhancement plays a crucial role in improving the quality and discriminative power of features used in matching tasks.
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Aug 6, 2023 · A cross-domain stereo matching algorithm for binocular vision based on transfer learning was proposed in this paper, named Cross-Domain Adaptation and Transfer ...
Apr 9, 2024 · This study serves as the first exploration of a viable approach for adapting VFMs to stereo matching.