108 citations · 401 across the 39 of their papers we have counts for
9 papers · 1 filter
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction
Ling Xiao, Toshihiko Yamasaki
Supervised learning methods have been suffering from the fact that a large-scale labeled dataset is mandatory, which is difficult to obtain. This has been a more significant issue…
Fine-Grained Image Style Transfer with Visual Transformers
Jianbo Wang, Huan Yang, Jianlong Fu +2
With the development of the convolutional neural network, image style transfer has drawn increasing attention. However, most existing approaches adopt a global feature transformati…
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
Koki Mukai, Soichiro Kumano, Toshihiko Yamasaki
Although Convolutional Neural Networks (CNNs) have high accuracy in image recognition, they are vulnerable to adversarial examples and out-of-distribution data, and the difference…
SAT: Self-adaptive training for fashion compatibility prediction
Ling Xiao, Toshihiko Yamasaki
This paper presents a self-adaptive training (SAT) model for fashion compatibility prediction. It focuses on the learning of some hard items, such as those that share similar color…
Superclass Adversarial Attack
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Adversarial attacks have only focused on changing the predictions of the classifier, but their danger greatly depends on how the class is mistaken. For example, when an automatic d…
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang, Shan You, Mingkai Zheng +3
We present an efficient approach for Masked Image Modeling (MIM) with hierarchical Vision Transformers (ViTs), allowing the hierarchical ViTs to discard masked patches and operate…