Few-Shot Class-Incremental Learning via Compact and Separable Features for Fine-Grained Vehicle Recognition
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DOI: 10.1109/tits.2022.3174662
Abstract: Most of the existing deep learning-based fine-grained vehicle recognition methods collect a large-scale training set in advance and train a model based on the closed-world assumption. However, in the real world, new classes of vehicles… read more here.
Keywords: compact separable; grained vehicle; class; incremental learning ... See more keywords