Saliency Inside: Learning Attentive CNNs for Content-based Image Retrieval.

In content-based image retrieval (CBIR), one of the most challenging and ambiguous tasks is to correctly understand the human query intention and measure its semantic relevance with images in the database. Due to the impressive capability of visual saliency in predicting human visual attention that is closely related to the query intention, this paper attempts to explicitly discover the essential ...