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CASIA OpenIR
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Salient object detection based on an efficient End-to-End Saliency Regression Network 期刊论文
NEUROCOMPUTING, 2019, 卷号: 323, 期号: 1, 页码: 265-276
作者:  Xi, Xuanyang;  Luo, Yongkang;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(3011Kb)  |  收藏  |  浏览/下载：436/81  |  提交时间：2019/01/08
Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks  
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
浏览  |  Adobe PDF(2781Kb)  |  收藏  |  浏览/下载：438/146  |  提交时间：2016/06/21
Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description  
A biologically inspired model mimicking the memory and two distinct pathways of face perception 期刊论文
NEUROCOMPUTING, 2016, 期号: 205, 页码: 349-359
作者:  Xi, Xuanyang;  Yin, Peijie;  Qiao, Hong;  Li, Yinlin;  Feng, Wensen
浏览  |  Adobe PDF(1899Kb)  |  收藏  |  浏览/下载：452/120  |  提交时间：2016/10/20
Biologically Inspired Model (Bim)  Face Perception  Memory  Component-based  
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning 会议论文
2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 24-29 July 2016
作者:  Peijie Yin;  Lu Qi;  Xuanyang Xi;  Bo Zhang;  Hong Qiao
浏览  |  Adobe PDF(384Kb)  |  收藏  |  浏览/下载：272/67  |  提交时间：2017/01/13
None  
Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 11, 页码: 2612-2624
作者:  Qiao, Hong;  Xi, Xuanyang;  Li, Yinlin;  Wu, Wei;  Li, Fengfu
浏览  |  Adobe PDF(2949Kb)  |  收藏  |  浏览/下载：386/136  |  提交时间：2016/01/18
Active Attention Adjustment  Association  Biologically Inspired Visual Model  Memory  Object Recognition