相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2022)
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
Chongyi Li et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
Benchmarking Low-Light Image Enhancement and Beyond
Jiaying Liu et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
Wenjing Wang et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
EnlightenGAN: Deep Light Enhancement Without Paired Supervision
Yifan Jiang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2021)
Domain Adaptation for Image Dehazing
Yuanjie Shao et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo et al.
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2020)
Semantic Segmentation With Low Light Images by Modified CycleGAN-Based Image Enhancement
Se Woon Cho et al.
IEEE ACCESS (2020)
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
Wenhan Yang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
Nighttime Data Augmentation Using GAN for Improving Blind-Spot Detection
Hongjun Lee et al.
IEEE ACCESS (2020)
Getting to know low-light images with the Exclusively Dark dataset
Yuen Peng Loh et al.
COMPUTER VISION AND IMAGE UNDERSTANDING (2019)
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Seunghyeon Kim et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
Christos Sakaridis et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Group Sampling for Scale Invariant Face Detection
Xiang Ming et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang et al.
PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19) (2019)
SFA: Small Faces Attention Face Detector
Shi Luo et al.
IEEE ACCESS (2019)
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
Jianrui Cai et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Semantic Foggy Scene Understanding with Synthetic Data
Christos Sakaridis et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2018)
Learning to See in the Dark
Chen Chen et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Xiaojie Guo et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
LLNet: A deep autoencoder approach to natural low-light image enhancement
Kin Gwn Lore et al.
PATTERN RECOGNITION (2017)
Finding Tiny Faces
Peiyun Hu et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
A fusion-based enhancing method for weakly illuminated images
Xueyang Fu et al.
SIGNAL PROCESSING (2016)
A theory of learning from different domains
Shai Ben-David et al.
MACHINE LEARNING (2010)
分享论文
