Guanbin Li

Online Alternate Generator Against Adversarial Attacks

2020 · IEEE Transactions on Image Processing

The field of computer vision has witnessed phenomenal progress in recent years partially due to the development of deep convolutional neural networks. However, deep learning models are notoriously sensitive to adversarial examples which are synthesized …

Open Set Domain Adaptation By Novel Class Discovery

2022 · arXiv (Cornell University)

In Open Set Domain Adaptation (OSDA), large amounts of target samples are drawn from the implicit categories that never appear in the source domain. Due to the lack of their specific belonging, existing methods indiscriminately …

RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels

2023

Learning with noisy labels (LNL) is one of the most important and challenging problems in weakly-supervised learning. Recent advances adopt the sample selection strategy to mitigate the interference of noisy labels and use small-loss criteria …

Structure Embedded Nucleus Classification for Histopathology Images

2024 · IEEE Transactions on Medical Imaging

Nuclei classification provides valuable information for histopathology image analysis. However, the large variations in the appearance of different nuclei types cause difficulties in identifying nuclei. Most neural network based methods are affected by the local …