Results for AdaStereo
Submission data
Full name | AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching |
Publication title | AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching |
Publication authors | Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi |
Publication venue | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. |
Publication URL | https://openaccess.thecvf.com/content/CVPR2021/papers/Song_AdaStereo_A_Simple_and_Efficient_Approach_for_Adaptive_Stereo_Matching_CVPR_2021_paper.pdf |
Programming language(s) | Python with CUDA |
Hardware | NVIDIA Titan XP GPU |
Submission creation date | 2 Mar, 2020 |
Last edited | 11 Nov, 2021 |
High-res multi-view results
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Low-res many-view results
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Low-res two-view results
SLAM results
all | boxes | boxes dark | buddha | cables 4 | cables 5 | desk 1 | desk 2 | desk changing 2 | desk dark 1 | desk dark 2 | desk global light changes | desk ir light | dino | drone | foreground occlusion | helmet | kidnap 2 | lamp | large loop 2 | large loop 3 | large non loop | motion 2 | motion 3 | motion 4 | planar 1 | reflective 2 | scale change | table 1 | table 2 | table 5 | table 6 | table global light changes | table local light changes | table scene | trashbin | |||
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