Higher-order inference in conditional random fields using submodular functions
Higher-order and dense conditional random fields (CRFs) are expressive graphical models which have been very successful in low-level computer vision applications such as semantic segmentation, and stereo matching. These models are able to capture long-range interactions and higher-order image statis...
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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