GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes
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DOI: 10.1109/access.2023.3255795
Abstract: When deep-learning classifiers try to learn new classes through supervised learning, they exhibit catastrophic forgetting issues. In this paper we propose the Gaussian Mixture Model - Incremental Learner (GMM-IL), a novel two-stage architecture that couples… read more here.
Keywords: incrementally learnt; new classes; class; sample sizes ... See more keywords