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cs.CV2023
MAFA: Managing False Negatives for Vision-Language Pre-training
Jaeseok Byun, Dohoon Kim, Taesup Moon
We consider a critical issue of false negatives in Vision-Language Pre-training (VLP), a challenge that arises from the inherent many-to-many correspondence of image-text pairs in…
cs.CV2023
TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers
Juhyeon Park, Seokhyeon Jeong, Taesup Moon
An image classifier may depend on incidental features stemming from a strong correlation between the feature and the classification target in the training dataset. Recently, Last L…