Institute Homepage
Institute Homepage EN Sign In

Back

Empirische Inferenz Conference Paper 2022

Revisiting Random Channel Pruning for Neural Network Compression

arXiv
no image
Empirische Inferenz
Kamil Adamczewski
  • Doctoral Researcher

Author(s): Li, Y. and Adamczewski, K. and Li, W. and Gu, S. and Timofte, R. and Van Gool, L.
Links:
Book Title: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Pages: 191--201
Year: 2022
Month: June
Bibtex Type: Conference Paper (conference)
DOI: 10.1109/CVPR52688.2022.00029
Event Name: EEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Event Place: New Orleans, Louisiana
State: Published
URL: https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Revisiting_Random_Channel_Pruning_for_Neural_Network_Compression_CVPR_2022_paper.pdf
Electronic Archiving: grant_archive
Supplement: https://openaccess.thecvf.com/content/CVPR2022/supplemental/Li_Revisiting_Random_Channel_CVPR_2022_supplemental.pdf

BibTex 

@conference{Lietal22b,
  title = {Revisiting Random Channel Pruning for Neural Network Compression},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {191--201},
  month = jun,
  year = {2022},
  slug = {lietal22b},
  author = {Li, Y. and Adamczewski, K. and Li, W. and Gu, S. and Timofte, R. and Van Gool, L.},
  url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Revisiting_Random_Channel_Pruning_for_Neural_Network_Compression_CVPR_2022_paper.pdf},
  month_numeric = {6}
}