JOURNAL ARTICLE

Lightweight Self-Supervised Monocular Depth Estimation for All-Day Scenes Using Generative Adversarial Network

Keywords:
Adversarial system Artificial intelligence Monocular Computer science Generative adversarial network Generative grammar Computer vision Estimation Machine learning Pattern recognition (psychology) Deep learning Engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
25
Refs
0.05
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Shufflemono: Rethinking Lightweight Network for Self-Supervised Monocular Depth Estimation

Yale FengZhiyong HongLiping XiongZhiqiang ZengJingmin Li

Journal:   Journal of Artificial Intelligence and Soft Computing Research Year: 2024 Vol: 14 (3)Pages: 191-205
JOURNAL ARTICLE

Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation

Lina LiuXibin SongMengmeng WangYong LiuLiangjun Zhang

Journal:   2021 IEEE/CVF International Conference on Computer Vision (ICCV) Year: 2021 Pages: 12717-12726
© 2026 ScienceGate Book Chapters — All rights reserved.