3 papers
cs.CV2025
R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning
Xiaohan Guo, Yusong Cai, Zejia Liu +3
Enabling large-scale generative models to continuously learn new visual concepts is essential for personalizing pre-trained models to meet individual user preferences. Existing app…
cs.CV2025
LoRA-Based Continual Learning with Constraints on Critical Parameter Changes
Shimou Ling, Liang Zhang, Jiangwei Zhao +2
LoRA-based continual learning represents a promising avenue for leveraging pre-trained models in downstream continual learning tasks. Recent studies have shown that orthogonal LoRA…
cs.CV2025
ARIC: An Activity Recognition Dataset in Classroom Surveillance Images
Linfeng Xu, Fanman Meng, Qingbo Wu +16
The application of activity recognition in the ``AI + Education" field is gaining increasing attention. However, current work mainly focuses on the recognition of activities in man…