Stimulative Training++ : Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual networks from a novel perspective of loafing, and further propose a new training scheme as well as three improved strategi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 07. Apr.
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| 1. Verfasser: |
Ye, Peng
(VerfasserIn) |
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| Weitere Verfasser: |
He, Tong,
Tang, Shengji,
Li, Baopu,
Chen, Tao,
Bai, Lei,
Ouyang, Wanli |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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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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