BridgeNet : Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-Task Dense Predictions
Multi-task dense prediction aims at handling multiple pixel-wise prediction tasks within a unified network simultaneously for visual scene understanding. However, cross-task feature interactions of current methods are still suffering from incomplete levels of representations, less discriminative sem...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 5 vom: 07. Mai, Seite 3657-3672
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| 1. Verfasser: |
Zhang, Jingdong
(VerfasserIn) |
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| Weitere Verfasser: |
Fan, Jiayuan,
Ye, Peng,
Zhang, Bo,
Ye, Hancheng,
Li, Baopu,
Cai, Yancheng,
Chen, Tao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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