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20182022
most citedA Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks

27 citations · 71 across the 6 of their papers we have counts for

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cs.LG2019★ 19 cited

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

Tobias Schlosser, Michael Friedrich, Danny Kowerko

Inspired by the human visual perception system, hexagonal image processing in the context of machine learning deals with the development of image processing systems that combine th…

cs.LG2019★ 27 cited

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks

Tobias Schlosser, Frederik Beuth, Michael Friedrich +1

Automated visual inspection in the semiconductor industry aims to detect and classify manufacturing defects utilizing modern image processing techniques. While an earliest possible…