AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

arXiv:2305.11488v2 Announce Type: replace
Abstract: Continual learning aims to enable a model to incrementally learn knowledge from sequentially arrived data. Previous works adopt the conventional classification architecture, which consists of a feature extractor and a classifier. The feature extractor is shared across sequentially arrived tasks or classes, but one specific group of weights of the classifier corresponding to one new class should be incrementally expanded. Consequently, the parameters of a continual learner gradually increase. Moreover, as the classifier contains all …

arxiv cs.cv incremental knowledge type