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Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
The task of multispectral image segmentation (segmentation of images with numerous channels/bands, each capturing a specific range of wavelengths of electromagnetic radiation) has been previously explored in contexts with large amounts of labeled data.
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
The inherent ability of GWR to form distinct clusters, each corresponding to a class in the feature vector space, regardless of the order of samples or class imbalances, is well suited to achieving GCIL.
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