no code implementations • 16 Apr 2023 • Jiahao Xie, Ye Luo, Jianwei Lu
In this paper, we propose a random-patch based defense strategy to robustly detect physical attacks for Face Recognition System (FRS).
1 code implementation • 11 Oct 2022 • Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu
Specifically, there are an object detection task (consisting of an instance-classification task and a localization task) and an image-classification task in our framework, responsible for utilizing the two types of supervision.
1 code implementation • CVPR 2022 • Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
The conventional focal loss balances the training process with the same modulating factor for all categories, thus failing to handle the long-tailed problem.
no code implementations • 26 Aug 2021 • Xiaoang Shen, Guokai Zhang, Huilin Lai, Jihao Luo, Jianwei Lu, Ye Luo
The application of deep learning to medical image segmentation has been hampered due to the lack of abundant pixel-level annotated data.
no code implementations • 11 Feb 2021 • Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation.
no code implementations • 8 Nov 2020 • Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu
In this paper, we develop a cross-modal self-attention distillation network by fully exploiting the encoded information of the intermediate layers from different modalities, and the extracted attention maps of different modalities enable the model to transfer the significant spatial information with more details.
no code implementations • HLT 2016 • Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
Spammer detection on social network is a challenging problem.