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

20 October 2021

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

10 / 10 papers shown

Title
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 87 1,346 0 19 Jan 2020
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 130 2,858 0 17 Jun 2019
Kindling the Darkness: A Practical Low-light Image Enhancer Yonghua Zhang Jiawan Zhang Xiaojie Guo 109 1,195 0 04 May 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 117 4,997 0 02 Apr 2019
Deep Retinex Decomposition for Low-Light Enhancement Chen Wei Wenjing Wang Wenhan Yang Jiaying Liu 93 1,721 0 14 Aug 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset Y. P. Loh Chee Seng Chan 76 551 0 29 May 2018
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 278 1,181 0 04 May 2018
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,997 0 07 Aug 2017
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 240 10,674 0 15 Sep 2016
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement Kin Gwn Lore Adedotun Akintayo Soumik Sarkar 38 1,452 0 12 Nov 2015