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Finding of Object Class in Visual Object Recognition

Finding of Object Class in Visual Object Recognition
视觉对象识别中对象类的查找
批准号:
21800057
负责人:
HIDAKA Akinori
金额:
$1.71万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Research Activity Start-up
财政年份:
2008
资助国家:
日本
项目状态:
已结题
起止时间:
2008 至 2010

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中文摘要
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英文摘要
In visual object recognition based on pattern recognition, unsupervised learning is a still important problem. In this research, we try semi-automatic generating of training samples from non-labeled video sequence by using unsupervised approach. We use grow cut and template matching based object traking method for our sample extraction. In our experiments, we show that our approach can make the clusters of targets without teacher signals.
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Study of dynamic attentional selection mechanisms in deep neural networks
  • 批准号:
    16K16090
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
  • 资助金额:
    $2.5万
  • 财政年份:
    2016
  • 负责人:
    HIDAKA Akinori
  • 依托单位:
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