Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data

Class-imbalanced datasets are known to cause the problem of model being biased towards the majority classes. In this project, we set up two research questions: 1) when is the class-imbalance problem more prevalent in self-supervised pre-training? and 2) can offline clustering of feature representati...

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Bibliographische Detailangaben

Hauptverfasser:	Chang, Hye-min, Chang, Sungkyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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