Asymmetric Convolution : An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks
Fusing features from different sources is a critical aspect of many computer vision tasks. Existing approaches can be roughly categorized as parameter-free or learnable operations. However, parameter-free modules are limited in their ability to benefit from offline learning, leading to poor performa...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 11 vom: 13. Okt., Seite 7363-7376
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| 1. Verfasser: |
Han, Wencheng
(VerfasserIn) |
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| Weitere Verfasser: |
Dong, Xingping,
Zhang, Yiyuan,
Crandall, David,
Xu, Cheng-Zhong,
Shen, Jianbing |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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