CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共7条,第1-7条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
3D Video Object Detection with Learnable Object-Centric Global Optimization 会议论文
, Vancouver Convention Center, 2023-6-18~2023-6-22
作者:  He, Jiawei;  Chen, Yuntao;  Wang, Naiyan;  Zhang, Zhaoxiang
Adobe PDF(1722Kb)  |  收藏  |  浏览/下载:42/16  |  提交时间:2024/06/18
Coarse Mask Guided Interactive Object Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5808-5822
作者:  Li, Jing;  Fan, Junsong;  Wang, Yuxi;  Yang, Yuran;  Zhang, Zhaoxiang
Adobe PDF(4323Kb)  |  收藏  |  浏览/下载:73/5  |  提交时间:2024/02/22
Segmentation  Interactive  Transformer  Annotation Tool  
Interact with Open Scenes : A Life-long Evolution Framework for Interactive Segmentation Models 会议论文
, 里斯本,葡萄牙, 2022.10
作者:  Ruitong, Gan;  Junsong, Fan;  Yuxi, Wang;  Zhaoxiang, Zhang
Adobe PDF(1124Kb)  |  收藏  |  浏览/下载:122/33  |  提交时间:2023/05/29
Computer Vision  Interactive Segmentation  
Generalizing person re-identification by camera-aware invariance learning and cross-domain mixup 会议论文
, Online, 2020.08.23
作者:  Chuanchen Luo;  Chunfeng Song;  Zhaoxiang Zhang
Adobe PDF(699Kb)  |  收藏  |  浏览/下载:75/29  |  提交时间:2023/05/04
Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation 会议论文
, VIRTUAL (线上), 2020
作者:  Fan, Junsong;  Zhang, Zhaoxiang;  Song, Chunfeng;  Tan, Tieniu
Adobe PDF(1835Kb)  |  收藏  |  浏览/下载:181/51  |  提交时间:2022/06/16
weakly supervised learning  semantic segmentation  
CIAN: Cross-image affinity net for weakly supervised semantic segmentation 会议论文
, New York, USA, 2020
作者:  Fan, Junsong;  Zhang, Zhaoxiang;  Tan, Tieniu;  Song, Chunfeng;  Xiao, Jun
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载:169/42  |  提交时间:2022/06/16
weakly supervised learning  semantic segmentation  
Employing multi-estimations for weakly-supervised semantic segmentation 会议论文
, Online, 2020
作者:  Fan, Junsong;  Zhang, Zhaoxiang;  Tan, Tieniu
Adobe PDF(2884Kb)  |  收藏  |  浏览/下载:209/48  |  提交时间:2022/06/16
weakly supervised learning  semantic segmentation