Vessel Classification Using A Regression Neural Network Approach
Rasmus Eckholdt Andersen,Lazaros Nalpantidis,Evangelos Boukas,Rasmus Eckholdt Andersen,Lazaros Nalpantidis,Evangelos Boukas
Marine vessels are subject to high wear and tear due to the conditions they operate in. To reduce risk of failure during operation, vessels are inspected periodically every five years. These inspections are prone to high subjectiveness that makes them hard to reproduce for the shipping owners. The purpose of this paper is to present a regressor to a Faster R-CNN network that can help alleviate som...
