Abstract: The pretrained vision-language models (VLMs) have achieved outstanding performance in various visual tasks, primarily due to the knowledge they have acquired from massive image-text pairs.
Abstract: Classification of incomplete data remains a challenging task since the distribution of training and test sets may be inconsistently caused by missing values. To address such a problem, this ...
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