LDWLE: self-supervised driven low-light object detection framework

LDWLE: self-supervised driven low-light object detection framework

Abstract Low-light object detection involves identifying and locating objects in images captured under poor lighting conditions. It plays a significant role in surveillance and security, night pedestrian recognition, and autonomous driving, showcasing broad application prospects. Most existing objec...

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Bibliographic Details
Main Authors: Xiaoyang shen, Haibin Li, Yaqian Li, Wenming Zhang
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Complex & Intelligent Systems
Subjects:
Object detection
Low-light transformation
Self-supervised learning
Jointly trained
Regularization signal
Online Access:https://doi.org/10.1007/s40747-024-01681-z
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https://doi.org/10.1007/s40747-024-01681-z

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