The purpose of the present article is to determine the operating conditions and the scheme to be used to separate one or more constituents of a more or less complex mixture by distillation or ...

At the moment, many subfields of computer vision are dominated by large-scale vision models. Newly developed state-of-the-art models for tasks such as semantic segmentation, object detection, and ...

Knowledge distillation is about transferring knowledge from a large, powerful model (teacher) to a smaller, faster model (student). The student model mimics the teacher's behavior, achieving similar ...

Abstract: In the simple distillation practicum, some of the equipment used was the equipment that was not always used during practicum. Augmented reality has become one of the technologies that could ...

Abstract: Attention-based Neural Networks (NN) have demonstrated their effectiveness in accurate memory access prediction, an essential step in data prefetching. However, the substantial computational ...