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  4. Cited By
RestoreDet: Degradation Equivariant Representation for Object Detection
  in Low Resolution Images

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images

7 January 2022
Ziteng Cui
Yingying Zhu
Lin Gu
Guo-Jun Qi
Xiaoxiao Li
Peng Gao
Zenghui Zhang
Tatsuya Harada
ArXivPDFHTML

Papers citing "RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images"

50 / 58 papers shown
Title
Multitask AET with Orthogonal Tangent Regularity for Dark Object
  Detection
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Ziteng Cui
Guo-Jun Qi
Lin Gu
Shaodi You
Zenghui Zhang
Tatsuya Harada
ViT
83
99
0
06 May 2022
Dynamic Attentive Graph Learning for Image Restoration
Dynamic Attentive Graph Learning for Image Restoration
Chong Mou
Jian Zhang
Zhuoyuan Wu
DiffM
98
82
0
14 Sep 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Christos Sakaridis
Jie Cao
Guolei Sun
Peng Sun
Luc Van Gool
Radu Timofte
ViT
181
2,911
0
23 Aug 2021
Fast Convergence of DETR with Spatially Modulated Co-Attention
Fast Convergence of DETR with Spatially Modulated Co-Attention
Peng Gao
Minghang Zheng
Xiaogang Wang
Jifeng Dai
Hongsheng Li
ViT
70
307
0
05 Aug 2021
Container: Context Aggregation Network
Container: Context Aggregation Network
Peng Gao
Jiasen Lu
Hongsheng Li
Roozbeh Mottaghi
Aniruddha Kembhavi
ViT
74
72
0
02 Jun 2021
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
Wenjing Wang
Wenhan Yang
Jiaying Liu
CVBM
VLM
81
68
0
05 Apr 2021
Unsupervised Degradation Representation Learning for Blind
  Super-Resolution
Unsupervised Degradation Representation Learning for Blind Super-Resolution
Longguang Wang
Yingqian Wang
Xiaoyu Dong
Qingyu Xu
Jungang Yang
W. An
Yulan Guo
55
317
0
01 Apr 2021
Designing a Practical Degradation Model for Deep Blind Image
  Super-Resolution
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Peng Sun
Christos Sakaridis
Luc Van Gool
Radu Timofte
101
586
0
25 Mar 2021
Learning to Resize Images for Computer Vision Tasks
Learning to Resize Images for Computer Vision Tasks
Hossein Talebi
P. Milanfar
54
120
0
17 Mar 2021
You Only Look One-level Feature
You Only Look One-level Feature
Qiang Chen
Yingming Wang
Tong Yang
Xinming Zhang
Jian Cheng
Jian Sun
ObjD
60
521
0
17 Mar 2021
Improved Handling of Motion Blur in Online Object Detection
Improved Handling of Motion Blur in Online Object Detection
Mohamed Sayed
Gabriel J. Brostow
AAML
53
23
0
29 Nov 2020
Efficient Image Super-Resolution Using Pixel Attention
Efficient Image Super-Resolution Using Pixel Attention
Hengyuan Zhao
Xiangtao Kong
Jingwen He
Yu Qiao
Chao Dong
SupR
64
335
0
02 Oct 2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei
Hannan Lu
Radu Timofte
Liang Lin
W. Zuo
...
Jun-Ho Choi
Jong-Seok Lee
Feras Almasri
T. Vandamme
O. Debeir
SupR
77
41
0
25 Sep 2020
Single Image Super-Resolution via a Holistic Attention Network
Single Image Super-Resolution via a Holistic Attention Network
Ben Niu
Weilei Wen
Wenqi Ren
Xiangde Zhang
Lianping Yang
Shuzhen Wang
Kaihao Zhang
Xiaochun Cao
Haifeng Shen
SupR
60
627
0
20 Aug 2020
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou
Jiawei Zhang
W. Zuo
Chen Change Loy
SupR
55
215
0
30 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
379
13,025
0
26 May 2020
Unified Dynamic Convolutional Network for Super-Resolution with
  Variational Degradations
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
Yu-Syuan Xu
Shou-Yao Roy Tseng
Yu-Wen Tseng
Hsien-Kai Kuo
Yi-Min Tsai
SupR
60
122
0
15 Apr 2020
A Physics-based Noise Formation Model for Extreme Low-light Raw
  Denoising
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Kaixuan Wei
Ying Fu
Jiaolong Yang
Hua Huang
DiffM
57
210
0
28 Mar 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
Peng Sun
Luc Van Gool
Radu Timofte
SupR
154
544
0
23 Mar 2020
CycleISP: Real Image Restoration via Improved Data Synthesis
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
Ling Shao
DiffM
142
343
0
17 Mar 2020
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on
  Deep Neural Network Performance
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Mahmoud Afifi
M. Brown
AAML
58
115
0
15 Dec 2019
Lightweight Image Super-Resolution with Information Multi-distillation
  Network
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
96
891
0
26 Sep 2019
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Sefi Bell-Kligler
Assaf Shocher
Michal Irani
SupR
64
454
0
14 Sep 2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
Mohammad Saeed Rad
Behzad Bozorgtabar
Urs-Viktor Marti
Max Basler
H. K. Ekenel
Jean-Philippe Thiran
SupR
44
123
0
20 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann
Carsten Rother
VLM
UQCV
50
165
0
14 Aug 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
140
2,866
0
17 Jun 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
107
3,255
0
16 Apr 2019
UG$^{2+}$ Track 2: A Collective Benchmark Effort for Evaluating and
  Advancing Image Understanding in Poor Visibility Environments
UG2+^{2+}2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan
Wenhan Yang
Wenqi Ren
Xin Liu
Cheng Chi
Haiquan Wang
3DV
77
234
0
09 Apr 2019
Blind Super-Resolution With Iterative Kernel Correction
Blind Super-Resolution With Iterative Kernel Correction
Jinjin Gu
Hannan Lu
W. Zuo
Chao Dong
SupR
77
474
0
06 Apr 2019
Toward Real-World Single Image Super-Resolution: A New Benchmark and A
  New Model
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model
Jianrui Cai
Huiyu Zeng
Hongwei Yong
Zisheng Cao
Lei Zhang
SupR
82
506
0
01 Apr 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
Tieniu Tan
Jian Sun
SupR
70
405
0
03 Mar 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding
  Transformations rather than Data
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data
Liheng Zhang
Guo-Jun Qi
Liqiang Wang
Jiebo Luo
35
203
0
14 Jan 2019
The Effects of Super-Resolution on Object Detection Performance in
  Satellite Imagery
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
Jacob Shermeyer
A. V. Etten
ObjD
57
218
0
10 Dec 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
146
3,726
0
01 Sep 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
103
4,319
0
08 Jul 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
62
174
0
30 Mar 2018
Deep Back-Projection Networks For Super-Resolution
Deep Back-Projection Networks For Super-Resolution
Muhammad Haris
Gregory Shakhnarovich
Norimichi Ukita
SupR
86
1,329
0
07 Mar 2018
Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
138
3,319
0
24 Feb 2018
Learning a Single Convolutional Super-Resolution Network for Multiple
  Degradations
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Peng Sun
W. Zuo
Lei Zhang
SupR
89
911
0
17 Dec 2017
"Zero-Shot" Super-Resolution using Deep Internal Learning
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher
Nadav Cohen
Michal Irani
SupR
84
854
0
17 Dec 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
174
4,595
0
26 Oct 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
5,904
0
10 Jul 2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning
  Approach
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Ding Liu
Bihan Wen
Xianming Liu
Zhangyang Wang
Thomas S. Huang
VLM
45
215
0
14 Jun 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
20,832
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
2,443
0
12 Apr 2017
Examining the Impact of Blur on Recognition by Convolutional Networks
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
54
197
0
17 Nov 2016
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
316
5,229
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,686
0
15 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
324
8,116
0
13 Aug 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
232
10,247
0
27 Mar 2016
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