33 citations · 85 across the 12 of their papers we have counts for
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cs.CV2023
Adaptive Data Augmentation for Contrastive Learning
Yuhan Zhang, He Zhu, Shan Yu
In computer vision, contrastive learning is the most advanced unsupervised learning framework. Yet most previous methods simply apply fixed composition of data augmentations to imp…
cs.CV2023★ 1 cited
Interpretable Visual Question Answering Referring to Outside Knowledge
He Zhu, Ren Togo, Takahiro Ogawa +1
We present a novel multimodal interpretable VQA model that can answer the question more accurately and generate diverse explanations. Although researchers have proposed several met…
cs.CV2021
Intra-Class Uncertainty Loss Function for Classification
He Zhu, Shan Yu
Most classification models can be considered as the process of matching templates. However, when intra-class uncertainty/variability is not considered, especially for datasets cont…