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Xialei Liu*

2 accepted papers

2024

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

ECCV 2024poster

"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 of vision-language pre-trained models such as CLIP, they demonstrate good generalization ability that allows them to ex…

2024

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation

ECCV 2024poster

"Class incremental semantic segmentation aims to preserve old knowledge while learning new tasks, however, it is impeded by catastrophic forgetting and background shift issues. Prior works indicate the pivotal importance of initializing new classifiers and mainly focus on transferring knowledge from…