1 code implementation • 16 Jan 2024 • Zhen Zhou, Junfeng Fan, Yunkai Ma, Sihan Zhao, Fengshui Jing, Min Tan
In addition, since OBBs only serve as prompts, CFNet alleviates the over-dependence on bounding box detection performance of current instance segmentation methods using OBBs for dense objects.
1 code implementation • 9 Nov 2023 • Zhen Zhou, Yunkai Ma, Junfeng Fan, Zhaoyang Liu, Fengshui Jing, Min Tan
We propose linear GBB (LGBB), a novel OBB representation.
1 code implementation • 27 Jan 2023 • BoJian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
We learn weights of the expert distributions for individual instances according to their features discriminatively such that each instance's survival information can be characterized by a weighted combination of the learned constant expert distributions.
no code implementations • 19 Aug 2022 • Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu
On the LIDC-IDRI benchmark dataset for benign-malignant classification of pulmonary nodules in CT images, our method achieves a new state-of-the-art accuracy of 95. 36\% and an AUC of 96. 54\%.
1 code implementation • 17 Jun 2019 • Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen
The goal of this work is to introduce a toolbox namely "Brain Network Construction and Classification" (BrainNetClass) to the field to promote more advanced brain network construction methods.
no code implementations • 21 Jul 2018 • Benyuan Sun, Zhen Zhou, Fandong Zhang, Xiuli Li, Yizhou Wang
Meanwhile, our sampling strategy halves the training time of the proposal network on LUNA16.
no code implementations • 10 Feb 2018 • Botong Wu, Zhen Zhou, Jianwei Wang, Yizhou Wang
Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) to directly predict the malignancy of lung nodules with original thoracic Computed Tomography (CT) and nodule location.
no code implementations • CVPR 2017 • Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan
Accordingly, a demanding need is to recognize a person under different cameras, which is called person re-identification.