Abstract: Active learning (AL) has achieved great success in remotely sensed hyperspectral image (HSI) classification due to its ability to select highly informative training samples. An appropriate ...

Abstract: The fusion of multimodal data in telemedicine diagnosis plays a crucial role in improving diagnostic accuracy and enabling comprehensive analysis. While integrating multimodal pathological ...

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This repository implements a semi-supervised learning approach for weed detection using YOLO and Graph Neural Networks. The system leverages both labeled and unlabeled data to improve detection ...