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Jun, 2024
推进视觉语言模型的领域间辨识性在连续学习中
Advancing Cross-domain Discriminability in Continual Learning of Vison-Language Models
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Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang...
TL;DR
利用回归分析的增量学习和跨领域任务无关增量学习方法,保持视觉-语言模型的零-shot能力和在多领域下的性能。
Abstract
continual learning
(CL) with
vision-language models
(VLMs) has overcome the constraints of traditional CL, which only focuses on previously encountered classes. During the CL of VLMs, we need not only to prevent
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