低解像度画像からの特定物体認識に関する一検討

抄録

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.