most citedSelecting task with optimal transport self-supervised learning for few-shot classification

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 3 cited

Selecting task with optimal transport self-supervised learning for few-shot classification

Renjie Xu, Xinghao Yang, Baodi Liu +2

Few-Shot classification aims at solving problems that only a few samples are available in the training process. Due to the lack of samples, researchers generally employ a set of tr…

cs.CV2020

Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition

Xinghao Yang, Weifeng Liu, Shengli Zhang +2

Real world traffic sign recognition is an important step towards building autonomous vehicles, most of which highly dependent on Deep Neural Networks (DNNs). Recent studies demonst…