JOURNAL ARTICLE

Using full-scale feature fusion for self-supervised indoor depth estimation

Deqiang ChengJunhui ChenChen LvChenggong HanHe Jiang

Year: 2023 Journal:   Multimedia Tools and Applications Vol: 83 (9)Pages: 28215-28233   Publisher: Springer Science+Business Media
Keywords:
Computer science Feature (linguistics) Artificial intelligence Benchmark (surveying) Encoder Pattern recognition (psychology) Scale (ratio)

Metrics

2
Cited By
0.36
FWCI (Field Weighted Citation Impact)
43
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Self-Supervised Monocular Depth Estimation Based on Full Scale Feature Fusion

Cong WangYing Chen

Journal:   Journal of Computer-Aided Design & Computer Graphics Year: 2023 Vol: 35 (5)Pages: 667-675
JOURNAL ARTICLE

Indoor self-supervised monocular depth estimation based on level feature fusion

Deqiang CHENGHuaqiang ZHANGQiqi KOUChen LÜJiansheng Qian

Journal:   Optics and Precision Engineering Year: 2023 Vol: 31 (20)Pages: 2993-3009
JOURNAL ARTICLE

Iterative Feature Matching for Self-Supervised Indoor Depth Estimation

Yi WeiHengkai GuoJiwen LuJie Zhou

Journal:   IEEE Transactions on Circuits and Systems for Video Technology Year: 2021 Vol: 32 (6)Pages: 3839-3852
© 2026 ScienceGate Book Chapters — All rights reserved.