no code implementations • 20 Dec 2023 • Bo Yang, Hong Peng, Chenggang Guo, Xiaohui Luo, Jun Wang, Xianzhong Long
Prompt treatment for melanoma is crucial.
no code implementations • 1 Nov 2023 • Hengkui Dong, Xianzhong Long, Yun Li
Contrastive learning predicts whether two images belong to the same category by training a model to make their feature representations as close or as far away as possible.
1 code implementation • 1 Nov 2023 • Xianzhong Long, Chen Peng, Yun Li
In contrastive self-supervised learning, positive samples are typically drawn from the same image but in different augmented views, resulting in a relatively limited source of positive samples.
no code implementations • 28 Jun 2023 • Weiquan Li, Xianzhong Long, Yun Li
We introduce global and local feature information for self-supervised contrastive learning through multiple networks.
1 code implementation • 9 May 2023 • Chen Peng, Xianzhong Long, Yun Li
Self-supervised methods based on contrastive learning have achieved great success in unsupervised visual representation learning.
no code implementations • 6 Apr 2023 • Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
Contrastive learning has emerged as an essential approach for self-supervised learning in visual representation learning.
1 code implementation • ICCV 2023 • Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
However, they are susceptible to adversarial examples, which are generated by adding adversarial perturbations to original data.
no code implementations • 11 Oct 2020 • Keji Han, Yun Li, Xianzhong Long, Yao Ge
Many works demonstrate that deep learning system is vulnerable to adversarial attack.