Local Deep Descriptors in Bag-of-Words for Image Retrieval
Jiewei Cao, Zi Helen Huang, Heng Tao Shen · 2017
The Bag-of-Words (BoW) models using the SIFT descriptors have achieved great success in content-based image retrieval over the past decade. Recent studies show that the neuron activations of the convolutional neural networks (CNN) can be viewed as local descriptors, which can be aggregated into effective global descriptors for image retrieval. However, little work has been done on using these local deep descriptors in BoW models, especially in the case of large visual vocabularies.