CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:  Yu-Cheng Chou;  Bowen Li;  Deng-Ping Fan;  Alan Yuille;  Zongwei Zhou
Adobe PDF(4008Kb)  |  收藏  |  浏览/下载:43/14  |  提交时间:2024/04/23
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载:29/6  |  提交时间:2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
A Study of Using Synthetic Data for Effective Association Knowledge Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 194-206
作者:  Yuchi Liu;  Zhongdao Wang;  Xiangxin Zhou;  Liang Zheng
Adobe PDF(2006Kb)  |  收藏  |  浏览/下载:35/12  |  提交时间:2024/04/23
Multi-object tracking (MOT)  data association  synthetic data  motion simulation  association knowledge learning  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载:42/12  |  提交时间:2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载:126/27  |  提交时间:2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction