Results for CIDER
Submission data
Full name | CIDER |
Publication title | Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume |
Publication authors | Qingshan Xu and Wenbing Tao |
Publication venue | AAAI 2020 |
Publication URL | https://arxiv.org/abs/1912.11746 |
Programming language(s) | Python & C++ |
Hardware | Intel Xeon CPU E5-2630, NVIDIA GeForce GTX TitanX |
Submission creation date | 8 Sep, 2019 |
Last edited | 6 Jan, 2020 |
High-res multi-view results
Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
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No results yet. |
Low-res many-view results
Info | all | low-res many-view | indoor | outdoor | delivery area | electro | forest | playground | terrains |
---|---|---|---|---|---|---|---|---|---|
45.22 | 41.50 | 47.70 | 28.55 | 46.16 | 64.03 | 32.90 | 54.46 |
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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Method | Info | |||||||||||||||||||||||||||||||||||||
No results yet. |