Saliency-based selection of visual content for deep convolutional neural networks

Abraham Montoya Obeso; Jenny Benois‐Pineau; Mireya Saraí García Vázquez; Alejandro Acosta

doi:10.1007/s11042-018-6515-2

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Saliency-based selection of visual content for deep convolutional neural networks

Abraham Montoya Obeso Jenny Benois‐Pineau Mireya Saraí García Vázquez Alejandro Acosta

Year: 2018 Journal: Multimedia Tools and Applications Vol: 78 (8)Pages: 9553-9576 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-018-6515-2

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Keywords:

Computer science Normalization (sociology) Artificial intelligence Convolutional neural network Deep learning Generalization Cultural heritage Field (mathematics) Machine learning Contextual image classification Pattern recognition (psychology) Image (mathematics)

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Saliency-based selection of visual content for deep convolutional neural networks

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