4 papers · 1 filter
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
Jaeseok Byun, Seokhyeon Jeong, Wonjae Kim +2
Composed Image Retrieval (CIR) aims to retrieve a target image based on a reference image and conditioning text, enabling controllable image searches. The mainstream Zero-Shot (ZS)…
DEAL: Decoupled Classifier with Adaptive Linear Modulation for Group Robust Early Diagnosis of MCI to AD Conversion
Donggyu Lee, Juhyeon Park, Taesup Moon
While deep learning-based Alzheimer's disease (AD) diagnosis has recently made significant advancements, particularly in predicting the conversion of mild cognitive impairment (MCI…
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…
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…