A multi-pretraining U-Net architecture for semantic segmentation

Çağla Çöpürkaya; Elif Meriç; Fatma Patlar Akbulut; Cagatay Catal

doi:10.1007/s11760-025-04125-4

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A multi-pretraining U-Net architecture for semantic segmentation

Çağla Çöpürkaya Elif Meriç Fatma Patlar Akbulut Cagatay Catal

Year: 2025 Journal: Signal Image and Video Processing Vol: 19 (8) Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-025-04125-4

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Keywords:

Segmentation Computer science Natural language processing Artificial intelligence Architecture Net (polyhedron) Pattern recognition (psychology) Mathematics Geography

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Robotics and Automated Systems

Physical Sciences → Engineering → Control and Systems Engineering

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

A multi-pretraining U-Net architecture for semantic segmentation

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