CASIA OpenIR

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High-speed rail pole number recognition through deep representation and temporal redundancy 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 页码: 201-214
作者:  Yang, Yang;  Zhang, Wensheng;  He, Zewen;  Li, Ding
Adobe PDF(2751Kb)  |  收藏  |  浏览/下载:315/58  |  提交时间:2021/01/07
Region-based convolutional neural network  Context information  Object detection  Number recognition  Pole number  High-speed rail  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载:240/1  |  提交时间:2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 379, 页码: 53-63
作者:  Ye, Yangyang;  Chen, Houjin;  Zhang, Chi;  Hao, Xiaoli;  Zhang, Zhaoxiang
Adobe PDF(2738Kb)  |  收藏  |  浏览/下载:244/1  |  提交时间:2020/03/30
Shape attention  3D shape priors  Feature encoder  3D object detection  LiDAR point cloud  
Food det: Detecting foods in refrigerator with supervised transformer network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 379, 期号: 28, 页码: 162-171
作者:  Zhu, Yousong;  Zhao, Xu;  Zhao, Chaoyang;  Wang, Jinqiao;  Lu, Hanqing
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载:498/77  |  提交时间:2020/03/30
Food detection  Spatial transformer  Object detection  
APLNet: Attention-enhanced progressive learning network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 371, 期号: 2020, 页码: 166-176
作者:  Zhang, Hui;  Kang, Danqing;  He, Haibo;  Wang, Fei-Yue
浏览  |  Adobe PDF(3114Kb)  |  收藏  |  浏览/下载:364/110  |  提交时间:2020/03/30
Object detection  Progressive learning  Attention enhancement  
Adversarial attacks on Faster R-CNN object detector 期刊论文
NEUROCOMPUTING, 2020, 卷号: 382, 期号: 无, 页码: 87-95
作者:  Wang, Yutong;  Wang, Kunfeng;  Zhu, Zhanxing;  Wang, Fei-Yue
Adobe PDF(5655Kb)  |  收藏  |  浏览/下载:314/66  |  提交时间:2020/03/30
Adversarial attack  Object detection  White-box attack  Black-box attack