CASIA OpenIR

浏览/检索结果: 共52条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Vectorized Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15949-15963
作者:  Gao, Junyu;  Chen, Mengyuan;  Xu, Changsheng
收藏  |  浏览/下载:42/0  |  提交时间:2024/03/26
Uncertainty  Location awareness  Reliability  Videos  Noise measurement  Estimation  Deep learning  Weakly-supervised learning  temporal action localization  evidential deep learning  uncertainty estimation  
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15896-15911
作者:  Chen, Mengyuan;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载:38/0  |  提交时间:2024/03/26
Uncertainty  Background noise  Task analysis  Location awareness  Measurement uncertainty  Interference  Predictive models  Weakly-supervised temporal action localization  evidential deep learning  uncertainty estimation  
Dual Instance-Consistent Network for Cross-Domain Object Detection 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7338-7352
作者:  Jiao, Yifan;  Yao, Hantao;  Xu, Changsheng
收藏  |  浏览/下载:43/0  |  提交时间:2023/11/17
Feature extraction  Object detection  Detectors  Visualization  Proposals  Head  Task analysis  Cross-domain object detection  domain-specific description  dual instance-consistent network  
Semantic and Temporal Contextual Correlation Learning for Weakly-Supervised Temporal Action Localization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12427-12443
作者:  Fu, Jie;  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载:100/0  |  提交时间:2023/11/16
Weakly-supervised  video  action localization  semantic  temporal context  correlation learning  
Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载:119/35  |  提交时间:2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
Learning Domain Invariant Representations for Generalizable Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 509-523
作者:  Zhang, Yi-Fan;  Zhang, Zhang;  Li, Da;  Jia, Zhen;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:280/0  |  提交时间:2023/03/20
Generalizable person re-Identification  disentanglement  backdoor adjustment  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载:240/55  |  提交时间:2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability  
Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games 期刊论文
IEEE TRANSACTIONS ON GAMES, 2022, 卷号: 14, 期号: 4, 页码: 644-653
作者:  Xu, Pei;  Yin, Qiyue;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(1480Kb)  |  收藏  |  浏览/下载:318/78  |  提交时间:2023/02/22
Deep learning  exploration  reinforcement learning  video game  
Few-shot learning with unsupervised part discovery and part-aligned similarity 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Chen, Wentao;  Zhang, Zhang;  Wang, Wei;  Wang, Liang;  Wang, Zilei;  Tan, Tieniu
收藏  |  浏览/下载:250/0  |  提交时间:2022/11/14
Few-shot learning  Self-supervised learning  Part discovery network  Part-aligned similarity  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载:292/38  |  提交时间:2022/09/19
Object detection  prediction decoupling  convolutional neural network