Knowledge distillation: A good teacher is patient and consistent

There is a growing discrepancy in computer vision between large-scale models that achieve state-of-the-art performance and models that are affordable in practical applications. In this paper we address this issue and significantly bridge the gap between these two types of models. Throughout our empi...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 10915 - 10924
Hauptverfasser:	Beyer, Lucas, Zhai, Xiaohua, Royer, Amelie, Markeeva, Larisa, Anil, Rohan, Kolesnikov, Alexander
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	Computational modeling Computer vision Data models Deep learning architectures and techniques; Efficient learning and inferences; Machine learning; Optimization methods; Representation learning Image coding Manifolds Schedules Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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