Unsupervised Deep Feature Transfer for Low Resolution Image Classification
Unsupervised Deep Feature Transfer for Low Resolution Image Classification
In this paper, we propose a simple while effective unsupervised deep feature transfer algorithm for low resolution image classification. No fine-tuning on convenet filters is required in our method. We use pre-trained convenet to extract features for both high-and low-resolution images, and then feed them into a two-layer feature transfer …