Image Aesthetics refers to the branch of computer vision which is about the study of aesthetic properties of photographs i.e. the factors which make an image look pleasing or dull. Such factors extend beyond the physical ...

Machine-learning models have been recently developed in various computer vision applications, such as image detention, segmentation and so on. Models are often trained based on data that present various levels of accuracy, ...

Channel pruning is an effective technique to reduce the size of Convolutional Neural Networks (CNNs). A decisive part of any pruning algorithm is its saliency metric. We propose different techniques to improve saliency ...

Human-targeted metrics provide a compromise between human evaluation of machine translation, where high inter-annotator agreement is difficult to achieve, and fully automatic metrics, such as BLEU or TER, that lack the ...

The surge of mobile users with increasing needs of data and services has brought a tremendous momentum to telecommunications. This revolution paves the way to the development of next generation mobile networks, able to ...

This paper presents the results of the WMT17 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT17 news translation task and Neural MT training task. We collected ...