Speaker graduated from NTUU “KPI” (Faculty of Applied Mathematics) in 2014. His professional interests include Deep Convolutional Neural Networks, Face Alignment, Object Detection, Face Recogniton, Machine Learning. Yurii participated as a speaker in a number of conferences: Lviv IT Arena, Kharkov AI Club, IT Trends.
Topic: Object Detection Based on Deep Learning
Short Description: In this presentation we provide an overview of the most popular object detection methods based on Deep Learning, such as Faster-RCNN, YOLO, SSD, etc. We will discuss modern benchmarks for evaluation of the algorithm’s quality including Pascal VOC 2007/2012, COCO, ILSVRC2016, etc. We are going to share our experience developing Deep Learning-based object detection system and talk about the problems we faced in this regard.