Abstract: Class incremental learning (CIL) sequentially increases the number of classes, which often leads to catastrophic forgetting when fine-tuning on new classes. Existing approaches typically ...
Abstract: Most hyperspectral image (HSI) classification methods assume that all classes in the test set are present during training. However, in real-world applications, acquiring labeled training ...
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