Zig-Zag Network for Semantic Segmentation of RGB-D Images
Semantic segmentation of images requires an understanding of appearances of objects and their spatial relationships in scenes. The fully convolutional network (FCN) has been successfully applied to recognize objects' appearances, which are represented with RGB channels. Images augmented with de...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 10 vom: 25. Okt., Seite 2642-2655 |
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| Format: | Article en ligne |
| Langue: | English |
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2020
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Accès en ligne |
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