Work

Vision-Based Crack Detection using Transfer Learning in Metal Forming Processes

Year: 2019

Type: conference-paper

Source: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

DOI: 10.1109/etfa.2019.8869084

Authors: Dominik Mittel, Florian Kerber

Institution: Technische Hochschule Augsburg

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2980925565

FWCI: 1.602

Cites: 21

Cited by: 14

Related to: 10