Mutual Learning Between Saliency and Similarity : Image Cosegmentation via Tree Structured Sparsity and Tree Graph Matching
This paper proposes a unified mutual learning framework based on image hierarchies, which integrates structured sparsity with tree-graph matching to conquer the problem of weakly supervised image cosegmentation. We focus on the interaction between two common-object properties: saliency and similarit...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 9 vom: 03. Sept., Seite 4690-4704 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2018
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |