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:
SignParser: An End-to-End Framework for Traffic Sign Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 卷号: 132, 期号: 2, 页码: 805-821
作者:  Guo, Yunfei;  Feng, Wei;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(7011Kb)  |  收藏  |  浏览/下载:133/7  |  提交时间:2023/12/21
Traffic sign understanding  Content reasoning  Semantic description generation  
Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 4, 页码: 970-989
作者:  Zhang, Zhaoxiang;  Pan, Cong;  Peng, Junran
Adobe PDF(1753Kb)  |  收藏  |  浏览/下载:233/10  |  提交时间:2022/06/06
Computer vision  Object detection  Effective receptive fields  Hardware acceleration  
From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 3, 页码: 800-819
作者:  Zhang, Zhaoxiang;  Luo, Chuanchen;  Wu, Haiping;  Chen, Yuntao;  Wang, Naiyan;  Song, Chunfeng
Adobe PDF(1762Kb)  |  收藏  |  浏览/下载:314/43  |  提交时间:2022/06/06
Feature aggregation  Deep learning  Intra-class variance  Person re-identification  Video object detection  
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14
作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(1831Kb)  |  收藏  |  浏览/下载:308/6  |  提交时间:2021/11/02
Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination  
Single-Shot Scale-Aware Network for Real-Time Face Detection 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 卷号: 127, 期号: 6-7, 页码: 537-559
作者:  Zhang, Shifeng;  Wen, Longyin;  Shi, Hailin;  Lei, Zhen;  Lyu, Siwei;  Li, Stan Z.
浏览  |  Adobe PDF(21151Kb)  |  收藏  |  浏览/下载:344/35  |  提交时间:2019/07/11
Face detection  Single-shot  Scale-aware  Class imbalance