Learning Versatile Convolution Filters for Efficient Visual Recognition
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of efficient deep learning techniques running on cost-effective hardware, a number of methods have been developed to learn co...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 11 vom: 01. Nov., Seite 7731-7746
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| 1. Verfasser: |
Han, Kai
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Yunhe,
Xu, Chang,
Xu, Chunjing,
Wu, Enhua,
Tao, Dacheng |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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