3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang, Xusheng Cao, Haori Lu +1
Class-incremental learning is a challenging problem, where the goal is to train a model that can classify data from an increasing number of classes over time. With the advancement…
cs.CV2024
Generative Multi-modal Models are Good Class-Incremental Learners
Xusheng Cao, Haori Lu, Linlan Huang +2
In class-incremental learning (CIL) scenarios, the phenomenon of catastrophic forgetting caused by the classifier's bias towards the current task has long posed a significant chall…
cs.CV2023★ 3 cited
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu, Xusheng Cao, Haori Lu +3
With the advent of large-scale pre-trained models, interest in adapting and exploiting them for continual learning scenarios has grown. In this paper, we propose an approach to exp…