Class-Incremental Learning with Strong Pre-trained Models

Class-incremental learning (CIL) has been widely studied under the setting of starting from a small number of classes (base classes). Instead, we explore an understudied real-world setting of CIL that starts with a strong model pre-trained on a large number of base classes. We hypothesize that a str...

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Hauptverfasser:	Wu, Tz-Ying, Swaminathan, Gurumurthy, Li, Zhizhong, Ravichandran, Avinash, Vasconcelos, Nuno, Bhotika, Rahul, Soatto, Stefano
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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