Race lens: A machine intelligence-based application for racing photo analysis
This paper presents Race lens, a novel application utilizing advanced deep learning and computer vision models for comprehensive analysis of racing photos.
Simultaneous perturbation method for multi-task weight optimization in one-shot meta-learning
In this paper we investigate the modification of a standard meta-learning pipeline. The proposed method simultaneously utilizes information from several meta-training tasks in a common loss function.