MKTN: Adversarial-Based Multifarious Knowledge Transfer Network from Complementary Teachers

Abstract With the demands for light deep networks models in various front-end devices, network compression has attracted increasing interest for reducing model sizes yet without sacrificing much model accuracy. This paper presents a multifarious knowledge transfer network (MKTN) that aims to produce...

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Bibliographic Details
Main Authors: Xiaobing Zhang, Heyu Chang, Yaohui Hao, Dexian Chang
Format: Article
Language:English
Published: Springer 2024-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-024-00403-0