Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search
Author:
Funder
National Major Scientific Research Instrument Development Project
Key Research and Development Plan of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11548-023-03035-5.pdf
Reference31 articles.
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3. Shen Z, Dai Y, Song X, Rao Z, Zhou D, Zhang L (2022) Pcw-net: pyramid combination and warping cost volume for stereo matching. In: computer vision–ECCV 2022: 17th European conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXII, Springer, pp. 280–297. https://doi.org/10.1007/978-3-031-19824-3_17
4. Li Z, Liu X, Drenkow N, Ding A, Creighton FX, Taylor RH, Unberath M (2021) Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers. In: proceedings of the IEEE/CVF international conference on computer vision, pp. 6197–6206. https://doi.org/10.1109/ICCV48922.2021.00614
5. Xu H, Zhang J (2020) Aanet: adaptive aggregation network for efficient stereo matching. In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 1959–1968. https://doi.org/10.1109/CVPR42600.2020.00203
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