EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation

Xuegang Hu; Ke Yan

doi:10.1007/s11554-024-01421-z

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EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation

Xuegang Hu Ke Yan

Year: 2024 Journal: Journal of Real-Time Image Processing Vol: 21 (2) Publisher: Springer Science+Business Media

DOI: 10.1007/s11554-024-01421-z

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Keywords:

Computer science Segmentation Feature (linguistics) Scale (ratio) Artificial intelligence Semantic feature Pattern recognition (psychology) Cartography Geography

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

EMFANet: a lightweight network with efficient multi-scale feature aggregation for real-time semantic segmentation

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Citation History

Topics

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