Convolutional Networks with Dense Connectivity
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this observation and introduce the Dense Convolutional N...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 28. Dez., Seite 8704-8716
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1. Verfasser: |
Huang, Gao
(VerfasserIn) |
Weitere Verfasser: |
Liu, Zhuang,
Pleiss, Geoff,
Maaten, Laurens van der,
Weinberger, Kilian Q |
Format: | Online-Aufsatz
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Sprache: | English |
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 |