文件名称:test1
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2016-10-20
- 文件大小:
- 1kb
- 下载次数:
- 0次
- 提 供 者:
- 宋**
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- 无
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Convolutional-deconvolution networks can be adopted
to perform end-to-end saliency detection. But, they do not
work well with objects of multiple scales. To overcome
such a limitation, in this work, we propose a recurrent attentional
convolutional-deconvolution network (RACDNN).
Using spatial transformer and recurrent network units,
RACDNN is able to iteratively attend to selected image
sub-regions to perform saliency refinement
to perform end-to-end saliency detection. But, they do not
work well with objects of multiple scales. To overcome
such a limitation, in this work, we propose a recurrent attentional
convolutional-deconvolution network (RACDNN).
Using spatial transformer and recurrent network units,
RACDNN is able to iteratively attend to selected image
sub-regions to perform saliency refinement
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test1.m