Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation-Reference-Cited by-同舟云学术

Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Liu Li¹,Huang Qingle¹,Lin Sihao²,Xie Hongwei¹,Wang Bing¹,Chang Xiaojun³,Liang Xiaodan⁴

Affiliation:

1. Alibaba Group

2. Monash University

3. Rmit University

4. Sun Yat-sen University

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711016.pdf?arnumber=9711016

Reference35 articles.

1. Wide residual networks;zagoruyko,2016

2. A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning

3. Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling

4. Intra-class feature variation distillation for semantic segmentation;wang;ECCV,2020

5. Shufflenet: An extremely efficient convolutional neural network for mobile devices;zhang;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

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