Object Retrieval from Low-Resolution Images

Abstract

Image descriptors based on activations of CNN have become dominant in object retrieval. However the problem becomes significantly more challenging if the details are missing due to low-resolution. In this paper, we propose an end-to-end network which combines convolutional image super-resolution and image representation.