RISING STAR
cent Auroc. After that there’s a diminishing return, in that the method needs a lot more to bridge the last few per cent. But even so, PatchCore’s returns are a lot less diminishing than comparable methods, Roth said – the comparisons were made against SPADE and PaDiM. Roth said the method has
already been used in practice for anomaly detection on solar cell electroluminescence images. He also noted that the method has been replicated, meaning the concepts hold true beyond a specific implementation. ‘It’s very nice to receive this
award for this work because it was research that was built around practical needs... instead of making the method complex and convincing from an academic point of view,’ Roth told Imaging and Machine Vision Europe. ‘We wanted something that works well in practice first, and then tried to convince the academic community of its merits. ‘Tere tends to be some
disconnect between what industry needs and what academia publishes,’ he continued. ‘We were able to find a niche by going from application needs first to academic publication.’ Te fact the work was
accepted for CVPR shows its academic merits too. Roth said the code was
written in a way that is scalable to the hardware the user has available. But, he added, ‘if you have a GPU you can make use of it really aggressively’. ‘We have extended PatchCore
with a lot of computation tricks to run on a GPU, and if we do all of these tricks things are even faster,’ he said. Roth is still optimising
the code base. He said he’s looking to potentially develop the method for 3D anomaly detection. Te Explainable Machine
Learning group at the University of Tübingen is part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the European Laboratory
www.imveurope.com | @imveurope
for Learning and Intelligent Systems (ELLIS). Roth is co- supervised by Zeynep Akata at the University of Tübingen, and Oriol Vinyals, a research scientist at Deepmind. Roth completed both
Bachelor and Master studies in Physics at Heidelberg University in 2021, and spent time in
Canada as a researcher at the Montreal Institute for Learning Algorithms and the Vector Institute in Toronto. Te EMVA Young Professional
Award honours outstanding work by a student or a young professional in the field of machine vision or image processing. Te award
encourages students to focus on machine vision challenges and to apply the latest research in computer vision to the practical needs of the industry. Te 2023 EMVA business
conference will be held in Seville, Spain; the EMVA will celebrate its 20th anniversary there. O
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IMAGING AND MACHINE VISION EUROPE VISION YEARBOOK 2022/23 29
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