4 citations · 8 across the 3 of their papers we have counts for
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cs.CV2022★ 1 cited
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
Peipei Zhu, Xiao Wang, Yong Luo +4
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplis…
cs.CV2021★ 4 cited
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu, Bingchen Zhao, Jingen Liu +2
Contrastive learning, which aims at minimizing the distance between positive pairs while maximizing that of negative ones, has been widely and successfully applied in unsupervised…
cs.CV2021★ 3 cited
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Tao Wei, Angelica I Aviles-Rivero, Shuo Wang +4
The task of classifying mammograms is very challenging because the lesion is usually small in the high resolution image. The current state-of-the-art approaches for medical image c…