Applying Object Detection and Embedding Techniques to One-Shot Class-Incremental Multi-Label Image Classification

In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data. Unlike conventional methods that rely solely on neural networks trained on known classes, our model in...

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Détails bibliographiques
Auteurs principaux: Youngki Park, Youhyun Shin
Format: Article
Langue:English
Publié: MDPI AG 2023-09-01
Collection:Applied Sciences
Sujets:
Accès en ligne:https://www.mdpi.com/2076-3417/13/18/10468