Weakly Supervised Visual Saliency Prediction
The success of current deep saliency models heavily depends on large amounts of annotated human fixation data to fit the highly non-linear mapping between the stimuli and visual saliency. Such fully supervised data-driven approaches are annotation-intensive and often fail to consider the underlying...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 05., Seite 3111-3124
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| 1. Verfasser: |
Zhou, Lai
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Tianfei,
Khan, Salman,
Sun, Hanqiu,
Shen, Jianbing,
Shao, Ling |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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