Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining

As an interesting and emerging topic, cosaliency detection aims at simultaneously extracting common salient objects in multiple related images. It differs from the conventional saliency detection paradigm in which saliency detection for each image is determined one by one independently without takin...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 27; číslo 6; s. 1163 - 1176
Hlavní autoři:	Zhang, Dingwen, Han, Junwei, Han, Jungong, Shao, Ling
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.06.2016
Témata:	Construction Cosaliency detection Data mining deep learning Encoding Feature extraction Homogeneity Image detection Learning Machine learning Mining Neural networks Object recognition prior transfer Robustness stacked denoising autoencoder (SDAE) Training Visualization stacked denoising autoencoder (SDAE) deep learning Cosaliency detection prior transfer
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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