SIFT Meets CNN: A Decade Survey of Instance Retrieval

Abstract

In the early days, content-based image retrieval (CBIR) was studied with global features. Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively studied for over a decade due to the advantage of SIFT in dealing with image transformations. Recently, image representations based on the convolutional neural network (CNN… (More)
DOI: 10.1109/TPAMI.2017.2709749

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