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Limited by the lack of supervisory information of unknown classes, the existing open set cross-domain hyperspectral image (HSI) classification methods often rely on threshold-based methods when ...

Few-shot learning (FSL) has rapidly advanced in the hyperspectral image classification (HSIC), potentially reducing the need for laborious and expensive labeled data collection. Due to the limited ...

Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...

This project aims to develop a deep learning model using Convolutional Neural Networks (CNNs) to automatically classify images as either a cat or a dog. Leveraging image data and TensorFlow/Keras, the ...