ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.08664
  4. Cited By
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual
  Network

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

23 March 2018
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
    SupR
ArXivPDFHTML

Papers citing "Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network"

30 / 30 papers shown
Title
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution
M. Yilmaz
Ahmet Bilican
A. Murat Tekalp
SupR
71
0
0
27 May 2025
WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution
WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution
Pietro Bongini
S. Mandelli
Andrea Montibeller
Mirko Casu
Orazio Pontorno
...
Paolo Bestagini
Irene Amerini
F. D. De Natale
Sebastiano Battiato
Mauro Barni
VLM
206
0
0
28 Apr 2025
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only
Björn Möller
Lucas Görnhardt
Tim Fingscheidt
ViT
73
0
0
30 Mar 2025
MambaIRv2: Attentive State Space Restoration
MambaIRv2: Attentive State Space Restoration
Hang Guo
Yong Guo
Yaohua Zha
Yulun Zhang
Wenbo Li
Tao Dai
Shu-Tao Xia
Yawei Li
Mamba
155
18
0
22 Nov 2024
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
Tianyi Chen
Xiaoyi Qu
David Aponte
Colby R. Banbury
Jongwoo Ko
Tianyu Ding
Yong Ma
Vladimir Lyapunov
Ilya Zharkov
Luming Liang
118
2
0
11 Sep 2024
Interpreting Low-level Vision Models with Causal Effect Maps
Interpreting Low-level Vision Models with Causal Effect Maps
Jinfan Hu
Jinjin Gu
Shiyao Yu
Fanghua Yu
Zheyuan Li
Zhiyuan You
Chaochao Lu
Chao Dong
CML
152
2
0
29 Jul 2024
AdderSR: Towards Energy Efficient Image Super-Resolution
AdderSR: Towards Energy Efficient Image Super-Resolution
Dehua Song
Yunhe Wang
Hanting Chen
Chang Xu
Chunjing Xu
Dacheng Tao
SupR
56
83
0
18 Sep 2020
MemNet: A Persistent Memory Network for Image Restoration
MemNet: A Persistent Memory Network for Image Restoration
Ying Tai
Jian Yang
Xiaoming Liu
Chunyan Xu
SupR
102
1,541
0
07 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
171
5,891
0
10 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,781
0
17 Apr 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
115
2,441
0
12 Apr 2017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained
  Convolutional Neural Networks for Music Auto-tagging
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee
Juhan Nam
55
137
0
06 Mar 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
314
5,218
0
16 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
711
36,708
0
25 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
125
2,978
0
01 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
525
37,806
0
20 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
124
3,530
0
28 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
326
10,172
0
16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
139
7,465
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
190
29,742
0
08 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,179
0
14 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
131
2,504
0
14 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
229
8,821
0
01 Oct 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
202
4,173
0
17 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,008
0
30 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
276
18,587
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Rigid-Motion Scattering for Texture Classification
Rigid-Motion Scattering for Texture Classification
Laurent Sifre
S. Mallat
57
346
0
07 Mar 2014
1