Gram matrix based representation for image retrieval

In the field of image retrieval, most of image representations based on convolutional neural network (CNN) are first-order forms, i.e., the pooling or encoding methods are adopted on feature maps directly to produce compact image representations, while the high-order representations, such as the dep...

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Bibliographic Details

Published in:	2017 IEEE Visual Communications and Image Processing (VCIP) pp. 1 - 4
Main Authors:	Zhao, Shanwei, Zhao, Zhicheng, Su, Fei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2017
Subjects:	aggregate representation Aggregates Convolutional neural networks Correlation deep learning Feature extraction Gram matrix Image representation Image retrieval Principal component analysis
Online Access:	Get full text
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