Data-Free Backbone Fine-Tuning for Pruned Neural Networks-Reference-Cited by-同舟云学术

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Data-Free Backbone Fine-Tuning for Pruned Neural Networks

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
language:
Short-container-title:

Author:

Holzbock Adrian¹,Hegde Achyut²,Dietmayer Klaus¹,Belagiannis Vasileios³

Affiliation:

1. Institute for Measurement-, Control-, and Microtechnology, Ulm University,Germany

2. Institute of Information Security and Dependability, Karlsruhe Institute of Technology,Germany

3. Friedrich-Alexander-Universität Erlangen-Nürnberg,Chair of Multimedia Communications and Signal Processing,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290102.pdf?arnumber=10290102

Reference26 articles.

1. Microsoft coco: Common objects in context;lin;European Conference on Computer Vision,0

2. MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing

3. The Pascal Visual Object Classes (VOC) Challenge

4. Data-Free Learning of Student Networks

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