no code implementations • 14 Mar 2024 • Daiwei Yu, Zhuorong Li, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan
However, most AT methods suffer from robust overfitting, i. e., a significant generalization gap in adversarial robustness between the training and testing curves.
no code implementations • 18 Jan 2024 • Jun Wang, Chengfeng Zhou, Zhaoyan Ming, Lina Wei, Xudong Jiang, Dahong Qian
One of the fundamental challenges in microscopy (MS) image analysis is instance segmentation (IS), particularly when segmenting cluster regions where multiple objects of varying sizes and shapes may be connected or even overlapped in arbitrary orientations.
1 code implementation • 28 Jul 2023 • Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann
To promise consistency and accuracy during the transfer process, we propose to measure the invariance of representations in each predicate class, and learn unbiased prototypes of predicates with different intensities.
Ranked #3 on Panoptic Scene Graph Generation on PSG Dataset
no code implementations • 25 Jul 2017 • Lina Wei, Fangfang Wang, Xi Li, Fei Wu, Jun Xiao
As a result, a key issue in video saliency detection is how to effectively capture the intrinsical properties of atomic video structures as well as their associated contextual interactions along the spatial and temporal dimensions.
no code implementations • 24 Jul 2017 • Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu
In this paper, we propose an end-to-end group-wise deep co-saliency detection approach to address the co-salient object discovery problem based on the fully convolutional network (FCN) with group input and group output.
no code implementations • 19 Oct 2015 • Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, Jingdong Wang
A key problem in salient object detection is how to effectively model the semantic properties of salient objects in a data-driven manner.