A group of FER researcher s from the Department of Electronics, Microelectronics, Computer and Intelligent Systems (ZEMRIS), led by professor Siniša Šegvić, PhD , won the first place in the international competition Robust Vision Challenge , in the discipline of semantic segmentation . The method which the ZEMRIS team used in the competition was developed within the doctoral dissertation of the institute's associate Marin Oršić, while assistant Petra Bevandić, junior researcher Ivan Grubišić and institute associate Josip Šarić also participated in the preparation of the submission.
Competition propositions required learning a single model that could implement predictions on multiple data sets. Such models are particularly interesting for industrial applications because they behave best in the presence of unexpected scenes. FER's model achieved first place in the absolute competition at the WildDash 2 set. It is the most demanding set for the semantic segmentation of automotive scenes because it contains images which were specifically selected by the experts as difficult for machine-learned models. Model learning and evaluation was performed on an NVIDIA DGX computer. It is a computer system with eight NVIDIA Tesla V-100 GPUs, which simplify the software execution of procedures for learning large models.
Our winning team’s method, titled "Effective Semantic Segmentation by Pyramid Fusion" , was published at the last year’s CVPR conference, which Google Scholar lists as the 5th most prestigious scientific source according to the h5-index metric. It was also published in Pattern Recognition , journal which is ranked 10th out of a total of 220 most prestigious sources in the field of artificial intelligence according to Scopus.
"There are three main motivations for our participation in the competition. First, such ventures force us to step out of our comfort zone and "pick up" knowledge that we would otherwise gain much more slowly. Second, we wanted to increase the scientific impact of our publications. Third, this participation showed that our expertise is competitive on a global scale, so we hope to find projects to continue funding our research. We are interested in industrial projects, mainly because they confront us very effectively with the real limitations of our science. In addition, industrial research is important because public sources of funding in Croatia are not sufficient to conduct research at the global level", explains the team leader, professor Šegvić .
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