中文版 | English

在结果中检索

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：
Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：206/60  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：255/34  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:  Zhang, Xinbang;  Chang, Jianlong;  Guo, Yiwen;  Meng, Gaofeng;  Xiang, Shiming;  Lin, Zhouchen;  Pan, Chunhong
Adobe PDF(1346Kb)  |  收藏  |  浏览/下载：325/53  |  提交时间：2021/11/02
Computer architecture  Search problems  Optimization  Task analysis  Bridges  Binary codes  Estimation  Neural architecture search(NAS)  ensemble gumbel-softmax  distribution guided sampling  
3DTDesc: learning local features using 2D and 3D cues 期刊论文
MACHINE VISION AND APPLICATIONS, 2021, 卷号: 32, 期号: 3, 页码: 15
作者:  Xing, Xiaoxia;  Cai, Yinghao;  Lu, Tao;  Yang, Yiping;  Wen, Dayong
Adobe PDF(6292Kb)  |  收藏  |  浏览/下载：330/45  |  提交时间：2021/04/06
Geometric feature  Texture feature  Fusion method  Registration  
Face Detection With Different Scales Based on Faster R-CNN 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4017-4028
作者:  Wu, Wenqi;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2762Kb)  |  收藏  |  浏览/下载：490/155  |  提交时间：2018/10/02
Deep convolutional neural network (DCNN)  deep learning  face detection  Faster R-CNN