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- research-articleJanuary 2025
Class incremental learning with self-supervised pre-training and prototype learning
AbstractDeep Neural Networks (DNNs) have achieved great success on classification tasks of closed class sets. However, new classes, like new categories of social media topics, are continual added to the real world, making it necessary to learn ...
Highlights- A two-stage framework for class incremental learning (CIL) with a pre-trained feature encoder yielding high intrinsic dimensionality is proposed.
- An Incremental Prototype Classifier (IPC) is used to address classifier distortion.
- ...
