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CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks
  for Image Super Resolution

CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution

11 November 2017
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
    SupR
ArXiv (abs)PDFHTML

Papers citing "CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution"

4 / 4 papers shown
Title
Ground-roll Separation From Land Seismic Records Based on Convolutional
  Neural Network
Ground-roll Separation From Land Seismic Records Based on Convolutional Neural Network
Zhuang Jia
Wenkai Lu
Meng Zhang
Yongkang Miao
132
0
0
05 Sep 2024
DN-ResNet: Efficient Deep Residual Network for Image Denoising
DN-ResNet: Efficient Deep Residual Network for Image Denoising
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
128
56
0
16 Oct 2018
Learning Sparse Low-Precision Neural Networks With Learnable
  Regularization
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
248
31
0
01 Sep 2018
Compression of Deep Convolutional Neural Networks under Joint Sparsity
  Constraints
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
135
6
0
21 May 2018
1