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ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 265-276
作者:  Jiang, Shuqiang;  Min, Weiqing;  Liu, Linhu;  Luo, Zhengdong
收藏  |  浏览/下载:486/0  |  提交时间:2019/12/10
Food recognition  ingredient knowledge  feature aggregation  convolutional neural networks  
Multi-Task Deep Relative Attribute Learning for Visual Urban Perception 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 657-669
作者:  Min, Weiqing;  Mei, Shuhuan;  Liu, Linhu;  Wang, Yi;  Jiang, Shuqiang
收藏  |  浏览/下载:49/0  |  提交时间:2020/12/10
Visualization  Task analysis  Deep learning  Urban areas  Correlation  Computer vision  Predictive models  Visual urban perception  relative attribute  multi-task learning