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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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 27; H. 6; S. 1163 - 1176
Hauptverfasser:	Zhang, Dingwen, Han, Junwei, Han, Jungong, Shao, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2016
Schlagworte:	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
Online-Zugang:	Volltext
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