Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint-Reference-Cited by-同舟云学术

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Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Yu Shikang¹,Chen Jiachen¹,Han Hu¹,Jiang Shuqiang¹

Affiliation:

1. Institute of Computing Technology, CAS,Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS),Beijing,China,100190

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204250.pdf?arnumber=10204250

Reference51 articles.

1. Contrastive model inversion for data-free knowledge distillation;fang;IJCAI,2021

2. Up to 100x faster data-free knowledge distillation;fang;ArXiv Preprint,2021

3. Deep Residual Learning for Image Recognition

4. CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing

5. ImageNet: A large-scale hierarchical image database

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge distillation with insufficient training data for regression;Engineering Applications of Artificial Intelligence;2024-06

2. Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation;Pattern Recognition and Computer Vision;2023-12-29

3. Deep Learning-Based Eye Gaze Estimation for Automotive Applications Using Knowledge Distillation;IEEE Access;2023

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