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NOD: Taking a Closer Look at Detection under Extreme Low-Light
  Conditions with Night Object Detection Dataset

NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset

20 October 2021
Igor Morawski
Yu-An Chen
Yu-sheng Lin
Winston H. Hsu
ArXivPDFHTML

Papers citing "NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset"

5 / 5 papers shown
Title
Instance Segmentation in the Dark
Instance Segmentation in the Dark
Linwei Chen
Ying Fu
Kaixuan Wei
Dezhi Zheng
Felix Heide
ISeg
59
47
0
27 Apr 2023
Human Pose Estimation in Extremely Low-Light Conditions
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee
Jaesung Rim
Boseung Jeong
Geon-Yeong Kim
Byungju Woo
Haechan Lee
Sung-Jin Cho
Suha Kwak
VLM
46
22
0
27 Mar 2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised
  Domain Adaptive Object Detection
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
Mikhail Kennerley
Jian-Gang Wang
B. Veeravalli
R. Tan
ObjD
48
34
0
24 Mar 2023
Recurrent Exposure Generation for Low-Light Face Detection
Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang
Jingwen Wang
Yuhui Quan
Tianyi Chen
Jiaying Liu
Haibin Ling
Yong-mei Xu
CVBM
42
66
0
21 Jul 2020
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
190
1,165
0
04 May 2018
1