Results for CASnet
Submission data
| Full name | Confidence Aware Stereo Matching |
| Description | Our approach estimates disparities using implicitly inferred confidence levels. This capability is facilitated by our newly developed U-net transformer, which incorporates various attention mechanisms to extract global and local contexts from rectified image pairs. |
| Parameters | feature dimension:128
refinement iterations: 3 4-level u-net transformer |
| Publication title | Confidence Aware Stereo Matching for Realistic Cluttered Scenario |
| Publication authors | Junhong Min, Youngpil Jeon |
| Publication venue | ICIP 2024 submissions (1861) |
| Programming language(s) | python |
| Hardware | Intel i9-13900K, Nvidia 4090 |
| Submission creation date | 5 Feb, 2024 |
| Last edited | 5 Feb, 2024 |
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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Low-res many-view results
| Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
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| No results yet. | |||||||||
