Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification

Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification

A deep-learning technology for knowledge transfer is necessary to advance and optimize efficient knowledge distillation. Here, we aim to develop a new adversarial optimization-based knowledge transfer method involved with a layer-wise dense flow that is distilled from a pre-trained deep neural netwo...

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Bibliographic Details
Main Authors:	Doyeob Yeo, Min-Suk Kim, Ji-Hoon Bae
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Applied Sciences
Subjects:	adversarial optimization layer-wise dense flow knowledge transfer image classification
Online Access:	https://www.mdpi.com/2076-3417/11/8/3720

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