Abstract: Few-shot class-incremental learning (FSCIL) aims to continually learn new classes using a few samples while not forgetting the old classes. The scarcity of new training data will seriously ...
Code for our paper: Open-Set Recognition: a Good Closed-Set Classifier is All You Need? We tackle open-set recognition: the task of detecting if a test sample comes from an unseen class (which the ...
Abstract: In multi-dimensional classification, the semantics of objects are characterized by multiple class variables from different dimensions. To model the dependencies among class variables, one ...
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