CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Interpreting Sentiment Composition with Latent Semantic Tree 会议论文
, Toronto, Canada, 2023-7-9
作者:  Zhongtao Jiang;  Yuanzhe Zhang;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(509Kb)  |  收藏  |  浏览/下载:1/1  |  提交时间:2024/06/06
Advancing Air Combat Tactics with Improved Neural Fictitious Self-Play Reinforcement Learning 会议论文
Advanced Intelligent Computing Technology and Applications, 中国郑州, 2023-8
作者:  He SQ(何少钦);  Gao Y(高阳);  Zhang BF(张保丰);  Chang H(常惠);  Zhang XC(张鑫辰)
Adobe PDF(1496Kb)  |  收藏  |  浏览/下载:14/6  |  提交时间:2024/05/31
Air Combat, Reinforcement Learning, Neural Fictitious Self-Play.  
SOTVerse: A User-Defined Task Space of Single Object Tracking 期刊论文
International Journal of Computer Vision, 2023, 页码: 1-59
作者:  Shiyu, Hu;  Xin, Zhao;  Kaiqi Huang
Adobe PDF(53048Kb)  |  收藏  |  浏览/下载:59/5  |  提交时间:2024/01/22
Single object tracking  Experimental environment  Evaluation system  Performance analysis  
Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 6, 页码: 489
作者:  Fan, Xuqing;  Deng, Sai;  Wu, Zhengxing;  Fan, Junfeng;  Zhou, Chao
Adobe PDF(5062Kb)  |  收藏  |  浏览/下载:97/0  |  提交时间:2023/12/21
image fusion  lightweight AlexNet  particle swarm optimization  fault diagnosis  robotic fish  
Online 3D Modeling Method for Pose Measurement under Uncertain Dynamic Occlusion Based on Binocular Camera 期刊论文
sensors, 2023, 卷号: 23, 期号: 5, 页码: 17
作者:  Gao, Xuanchang;  Yu, Junzhi;  Tan, Min
Adobe PDF(9893Kb)  |  收藏  |  浏览/下载:111/30  |  提交时间:2023/06/14
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:229/54  |  提交时间:2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability