Few-shot learner parameterization by diffusion time-steps

Even when using large multi-modal foundation models, few-shot learning is still challenging—if there is no proper inductive bias, it is nearly impossible to keep the nuanced class attributes while removing the visually prominent attributes that spuriously correlate with class labels. To this end, we...

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Main Authors: YUE, Zhongqi, ZHOU, Pan, HONG, Richang, ZHANG, Hanwang, SUN Qianru
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語言:English
出版: Institutional Knowledge at Singapore Management University 2024
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/9019
https://ink.library.smu.edu.sg/context/sis_research/article/10022/viewcontent/2024_CVPR_few_shot.pdf
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機構: Singapore Management University
語言: English