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. 2205.03346
  4. Cited By
Multitask AET with Orthogonal Tangent Regularity for Dark Object
  Detection

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection

6 May 2022
Ziteng Cui
Guo-Jun Qi
Lin Gu
Shaodi You
Zenghui Zhang
Tatsuya Harada
    ViT
ArXivPDFHTML

Papers citing "Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection"

31 / 31 papers shown
Title
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Dual Degradation-Inspired Deep Unfolding Network for Low-Light Image Enhancement
Huake Wang
Xingsong Hou
Xiaoyang Yan
Kaibing Zhang
Xiangyong Cao
Xueming Qian
152
0
0
03 Jan 2025
Exploring Image Enhancement for Salient Object Detection in Low Light
  Images
Exploring Image Enhancement for Salient Object Detection in Low Light Images
Xin Xu
Shiqin Wang
Zechuan Wang
Xiaolong Zhang
R. Hu
35
69
0
31 Jul 2020
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo
Chongyi Li
Jichang Guo
Chen Change Loy
Junhui Hou
Sam Kwong
Runmin Cong
DiffM
3DV
92
1,356
0
19 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
165
1,213
0
19 Jan 2020
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu
Yike Guo
52
59
0
14 Dec 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
53
34
0
21 Nov 2019
Handheld Mobile Photography in Very Low Light
Handheld Mobile Photography in Very Low Light
O. Liba
K. Murthy
Yun-Ta Tsai
Tim Brooks
Tianfan Xue
...
Dillon Sharlet
Ryan Geiss
Samuel W. Hasinoff
Yael Pritch
M. Levoy
114
112
0
24 Oct 2019
Attention Guided Low-light Image Enhancement with a Large Scale
  Low-light Simulation Dataset
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv
Yu Li
Feng Lu
3DV
61
272
0
02 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
EnlightenGAN: Deep Light Enhancement without Paired Supervision
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yi Ding
Xinyu Gong
Ding Liu
Yu Cheng
Chen Fang
Xiaohui Shen
Jianchao Yang
Pan Zhou
Zhangyang Wang
64
1,567
0
17 Jun 2019
Kindling the Darkness: A Practical Low-light Image Enhancer
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang
Jiawan Zhang
Xiaojie Guo
109
1,204
0
04 May 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
AVT: Unsupervised Learning of Transformation Equivariant Representations
  by Autoencoding Variational Transformations
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations
Guo-Jun Qi
Liheng Zhang
Chang Wen Chen
Qi Tian
DRL
46
41
0
23 Mar 2019
Automatic ISP image quality tuning using non-linear optimization
Automatic ISP image quality tuning using non-linear optimization
Jun Nishimura
Timo Gerasimow
R. Sushma
Aleksandar Sutic
Chyuan-Tyng Wu
G. Michael
44
37
0
24 Feb 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
Unprocessing Images for Learned Raw Denoising
Unprocessing Images for Learned Raw Denoising
Tim Brooks
B. Mildenhall
Tianfan Xue
Jiawen Chen
Dillon Sharlet
Jonathan T. Barron
73
440
0
27 Nov 2018
Deep Retinex Decomposition for Low-Light Enhancement
Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei
Wenjing Wang
Wenhan Yang
Jiaying Liu
96
1,723
0
14 Aug 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset
Getting to Know Low-light Images with The Exclusively Dark Dataset
Y. P. Loh
Chee Seng Chan
81
555
0
29 May 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
278
1,184
0
04 May 2018
Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset
  and Baseline Results
Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results
Hajime Nada
Vishwanath A. Sindagi
He Zhang
Vishal M. Patel
CVBM
107
72
0
26 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
114
21,442
0
08 Apr 2018
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Liang Shen
Zihan Yue
Fan Feng
Quan Chen
Shihao Liu
Jie Ma
59
272
0
07 Nov 2017
Benchmarking Denoising Algorithms with Real Photographs
Benchmarking Denoising Algorithms with Real Photographs
Tobias Plötz
Stefan Roth
61
588
0
05 Jul 2017
Learning the image processing pipeline
Learning the image processing pipeline
Haomiao Jiang
Qiyuan Tian
J. Farrell
B. Wandell
37
50
0
30 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,293
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
168
2,979
0
30 Mar 2016
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
Soumik Sarkar
38
1,461
0
12 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
RENOIR - A Dataset for Real Low-Light Image Noise Reduction
RENOIR - A Dataset for Real Low-Light Image Noise Reduction
Josue Anaya
Adrian Barbu
61
173
0
29 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
1