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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 5 vom: 07. Mai, Seite 3657-3672
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| Auteur principal: |
Zhang, Jingdong
(Auteur) |
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| Autres auteurs: |
Fan, Jiayuan,
Ye, Peng,
Zhang, Bo,
Ye, Hancheng,
Li, Baopu,
Cai, Yancheng,
Chen, Tao |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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