AI Network Learns to Spot Faint Damage on Ancient Murals
Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...
Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...
Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage ...
Researchers have developed a real-time AI framework and a new field-captured dataset, VerBeet, that localize sugar beets and detect breakage ...
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© 2025 Scienmag - Science Magazine