Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Recently, there have been tremendous efforts in developing lightweight Deep Neural Networks (DNNs) with satisfactory accuracy, which can enable the ubiquitous deployment of DNNs in edge devices. The core challenge of developing compact and efficient DNNs lies in how to balance the competing goals of...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 01. Dez., Seite 14956-14974
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| 1. Verfasser: |
Su, Zhuo
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Jiehua,
Wang, Longguang,
Zhang, Hua,
Liu, Zhen,
Pietikainen, Matti,
Liu, Li |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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