On learning higher-order consistency potentials for multi-class pixel labeling
Park, Kyoungup; Gould, Stephen
Description
Pairwise Markov random fields are an effective framework for solving many pixel labeling problems in computer vision. However, their performance is limited by their inability to capture higher-order correlations. Recently proposed higher-order models are
| Collections | ANU Research Publications |
|---|---|
| Date published: | 2012 |
| Type: | Conference paper |
| URI: | http://hdl.handle.net/1885/69021 |
| Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| DOI: | 10.1007/978-3-642-33709-3_15 |
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| File | Description | Size | Format | Image |
|---|---|---|---|---|
| 01_Park_On_learning_higher-order_2012.pdf | 1.14 MB | Adobe PDF | Request a copy |
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