JOURNAL ARTICLE

ADRNet-S*: Asymmetric depth registration network via contrastive knowledge distillation for RGB-D mirror segmentation

Wujie ZhouYuqi CaiXiena DongFangfang QiangWeiwei Qiu

Year: 2024 Journal:   Information Fusion Vol: 108 Pages: 102392-102392   Publisher: Elsevier BV
Keywords:
Computer science Segmentation Artificial intelligence RGB color model Distillation Computer vision Natural language processing Chromatography Chemistry

Metrics

23
Cited By
26.19
FWCI (Field Weighted Citation Impact)
50
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Morphology-Guided Network via Knowledge Distillation for RGB-D Mirror Segmentation

Wujie ZhouYuqi CaiFangfang Qiang

Journal:   IEEE Transactions on Intelligent Transportation Systems Year: 2024 Vol: 25 (11)Pages: 17382-17391
JOURNAL ARTICLE

Self-Knowledge Distillation-Based Staged Extraction and Multiview Collection Network for RGB-D Mirror Segmentation

Han ZhangX. RanWujie Zhou

Journal:   IEEE Signal Processing Letters Year: 2024 Vol: 31 Pages: 1029-1033
JOURNAL ARTICLE

Depth Removal Distillation for RGB-D Semantic Segmentation

Tiyu FangZhen LiangXiuli ShaoZihao DongJinping Li

Journal:   ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Year: 2022 Pages: 2405-2409
JOURNAL ARTICLE

Enhancing RGB-D Mirror Segmentation With a Neighborhood-Matching and Demand-Modal Adaptive Network Using Knowledge Distillation

Wujie ZhouHan ZhangYuanyuan LiuTing Luo

Journal:   IEEE Transactions on Automation Science and Engineering Year: 2025 Vol: 22 Pages: 12679-12692
© 2026 ScienceGate Book Chapters — All rights reserved.