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Channel Compression: Rethinking Information Redundancy among Channels in
  CNN Architecture

Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture

2 July 2020
Jinhua Liang
Tao Zhang
Guoqing Feng
ArXiv (abs)PDFHTML

Papers citing "Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture"

4 / 4 papers shown
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
Irene Tenison
S. Chatterjee
F. Kawsar
Mohammad Malekzadeh
156
0
0
03 Oct 2025
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Lin Liu
Mingming Zhao
Shanxin Yuan
Wenlong Lyu
Wen-gang Zhou
Houqiang Li
Yanfeng Wang
Qi Tian
320
4
0
09 Jun 2023
Simple Pooling Front-ends For Efficient Audio Classification
Simple Pooling Front-ends For Efficient Audio ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Xubo Liu
Haohe Liu
Qiuqiang Kong
Xinhao Mei
Mark D. Plumbley
Wenwu Wang
411
23
0
03 Oct 2022
A Survey on Automated Sarcasm Detection on Twitter
A Survey on Automated Sarcasm Detection on Twitter
Bleau Moores
Vijay K. Mago
273
21
0
05 Feb 2022
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