Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
Training deep models for RGB-D salient object detection (SOD) often requires a large number of labeled RGB-D images. However, RGB-D data is not easily acquired, which limits the development of RGB-D SOD techniques. To alleviate this issue, we present a Dual-Semi RGB-D Salient Object Detection Networ...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 06., Seite 1107-1119
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| Auteur principal: |
Wang, Xiaoqiang
(Auteur) |
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| Autres auteurs: |
Zhu, Lei,
Tang, Siliang,
Fu, Huazhu,
Li, Ping,
Wu, Fei,
Yang, Yi,
Zhuang, Yueting |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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