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Hierarchical residual learning for image denoising
Elsevier | 2019|Keywords: Residual learning, Hierarchical residual learning -
Image denoising using deep CNN with batch renormalization
Elsevier | 2019|Keywords: Residual learning -
Fast deep parallel residual network for accurate super resolution image processing
Elsevier | 2019|Keywords: Residual learning -
Deep spectral CNN for laser induced breakdown spectroscopy
Elsevier | 2021|Keywords: Residual learning -
Selective residual learning for Visual Question Answering
Elsevier | 2020|Keywords: Residual learning -
Medical image denoising using convolutional neural network: a residual learning approach
Online Contents | 2017|Keywords: Residual learning -
SRNHARB: A deep light-weight image super resolution network using hybrid activation residual blocks
Elsevier | 2021|Keywords: Residual learning -
A hybrid quantum–classical neural network with deep residual learning
Elsevier | 2021|Keywords: Deep residual learning -
A multiscale dilated residual network for image denoising
Online Contents | 2020|Keywords: Residual learning -
A survey of the recent architectures of deep convolutional neural networks
Online Contents | 2020|Keywords: Residual learning -
Computer-aided diagnosis system for the classification of multi-class kidney abnormalities in the noisy ultrasound images
Elsevier | 2021|Keywords: Residual learning network -
Pest identification via deep residual learning in complex background
Elsevier | 2017|Keywords: Deep residual learning -
Training very deep neural networks: Rethinking the role of skip connections
Elsevier | 2021|Keywords: Residual learning -
Siamese residual network for efficient visual tracking
Elsevier | 2022|Keywords: Residual learning -
CSART: Channel and spatial attention-guided residual learning for real-time object tracking
Elsevier | 2020|Keywords: Residual learning -
Deep residual learning-based fault diagnosis method for rotating machinery
Elsevier | 2018|Keywords: Residual learning
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