cuiziteng/ICCV_MAET
🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
This project helps improve object detection in challenging low-light conditions by processing dark images to make objects more visible to computer vision systems. It takes in extremely dark or noisy images and outputs an enhanced version suitable for accurate object recognition and bounding box prediction. It is designed for researchers and engineers working on autonomous systems, surveillance, or any application where precise object identification in poor lighting is critical.
185 stars. No commits in the last 6 months.
Use this if you need to reliably detect objects in images taken in very dark environments where traditional computer vision methods struggle.
Not ideal if your primary need is general image enhancement without a specific focus on object detection, or if you only deal with well-lit imagery.
Stars
185
Forks
17
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 04, 2023
Commits (30d)
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