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

Wujie Zhou; Han Zhang; Yuanyuan Liu; Ting Luo

doi:10.1109/tase.2025.3547613

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

Wujie Zhou Han Zhang Yuanyuan Liu Ting Luo

Year: 2025 Journal: IEEE Transactions on Automation Science and Engineering Vol: 22 Pages: 12679-12692 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tase.2025.3547613

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Keywords:

Segmentation Artificial intelligence Matching (statistics) RGB color model Modal Distillation Computer vision Computer science Image segmentation Pattern recognition (psychology) On demand Pattern matching Machine learning Mathematics Materials science Statistics

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3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Virtual Reality Applications and Impacts

Physical Sciences → Computer Science → Human-Computer Interaction

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

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

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