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:
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection 会议论文
, New Orleans, Louisiana & Online, 2022-6-19
作者:  Wang, Tong;  Zhu, Yousong;  Chen, Yingying;  Zhao, Chaoyang;  Yu, Bin;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(5757Kb)  |  收藏  |  浏览/下载:400/69  |  提交时间:2022/04/01
Large Batch Optimization for Object Detection: Training COCO in 12 minutes 会议论文
, Online, 2020-8-24
作者:  Wang, Tong;  Zhu, Yousong;  Zhao, Chaoyang;  Zeng, Wei;  Wang, Yaowei;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(3706Kb)  |  收藏  |  浏览/下载:284/42  |  提交时间:2022/04/01
Object detection  Large batch optimization  Periodical moments decay  
Occlusion-Aware Siamese Network for Human Pose Estimation 会议论文
, 英国(在线会议), 8.23-8.28
作者:  Zhou Lu;  Chen Yingying;  Gao Yunze;  Wang Jinqiao;  Lu Hanqing
Adobe PDF(1420Kb)  |  收藏  |  浏览/下载:229/70  |  提交时间:2021/06/15
FLDet: A CPU Real-time Joint Face and Landmark Detector 会议论文
, 希腊, 2019
作者:  Zhuang, Chubin;  Zhang, Shifeng;  Zhu, Xiangyu;  Lei, Zhen;  Wang, Jinqiao
浏览  |  Adobe PDF(2950Kb)  |  收藏  |  浏览/下载:213/53  |  提交时间:2020/06/08
A Review on Object Detection Based on Deep Convolutional Neural Networks for Autonomous Driving 会议论文
, 中国江西省南昌市, 2019-6-3
作者:  Lu JL(卢佳琳);  Tang SM(汤淑明);  Wang JQ(王金桥);  Zhu HB(朱海兵);  Wang YK(王云宽)
浏览  |  Adobe PDF(699Kb)  |  收藏  |  浏览/下载:420/128  |  提交时间:2019/05/06
Mask Assisted Object Coding with Deep Learning for Object Retrieval in Surveillance Videos 会议论文
ACM Multimedia, Orlando, Florida, USA., 2014-10
作者:  Kezhen Teng;  Jinqiao Wang;  Hanqing Lu
浏览  |  Adobe PDF(3117Kb)  |  收藏  |  浏览/下载:342/108  |  提交时间:2016/10/26
Object Retrieval  
Group latent factor model for recommendation with multiple user behaviors 会议论文
International ACM SIGIR Conference on Research and Development in Information Retrieval, Gold Coast, Queensland,Australia, 2014
作者:  Cheng, Jian;  Yuan, Ting;  Wang, Jinqiao;  Lu, Hanqing
浏览  |  Adobe PDF(632Kb)  |  收藏  |  浏览/下载:351/142  |  提交时间:2015/08/19
Group Latent Factor Model  Recommendation  Multiple User Behaviors