Semi‐supervised learning dehazing algorithm based on the OSV model-Reference-Cited by-同舟云学术

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Semi‐supervised learning dehazing algorithm based on the OSV model

Published:2022-11-24 Issue:3 Volume:17 Page:872-885
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zhu Lijun¹^ORCID,Wei Weibo¹^ORCID,Pan Zhenkuan¹,Ji Lianshun¹,Song Jintao¹,Li Jinhan¹

Affiliation:

1. The College of Computer Science and Technology Qingdao University Qingdao China

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12679

Reference46 articles.

1. A GPU‐free real‐time object detection method for apron surveillance video based on quantized MobileNet‐SSD

2. Robust face recognition for occluded real‐world images using constrained probabilistic sparse network

3. Semantic and context features integration for robust object tracking

4. Dual integration of multi‐model with spatial‐temporal occlusion‐awareness for visual object tracking

5. Optics of the Atmosphere: Scattering by Molecules and Particles

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