TCFAP-Net: Transformer-based Cross-feature Fusion and Adaptive Perception Network for large-scale point cloud semantic segmentation

J.F. Zhang; Zhipeng Jiang; Qinjun Qiu; Zheng Liu

doi:10.1016/j.patcog.2024.110630

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TCFAP-Net: Transformer-based Cross-feature Fusion and Adaptive Perception Network for large-scale point cloud semantic segmentation

J.F. Zhang Zhipeng Jiang Qinjun Qiu Zheng Liu

Year: 2024 Journal: Pattern Recognition Vol: 154 Pages: 110630-110630 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.110630

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Keywords:

Segmentation Computer science Point cloud Artificial intelligence Transformer Cloud computing Fusion Scale (ratio) Feature (linguistics) Computer vision Pattern recognition (psychology) Geography Engineering Cartography

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Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

TCFAP-Net: Transformer-based Cross-feature Fusion and Adaptive Perception Network for large-scale point cloud semantic segmentation

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