Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts

T. Nickchen, S. Heindorf, G. Engels, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1994–2002.

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Conference Paper | Published | English
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Publishing Year
Proceedings Title
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Page
1994-2002
Conference
IEEE/CVF Winter Conference on Applications of Computer Vision
Conference Location
Hawaii
Conference Date
2021-05-01 – 2021-09-01
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Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. ; 2021:1994-2002.
Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1994–2002). Hawaii.
@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}, booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}, year={2021}, pages={1994–2002} }
Nickchen, Tobias, Stefan Heindorf, and Gregor Engels. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 1994–2002, 2021.
T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, Hawaii, 2021, pp. 1994–2002.
Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 1994–2002.

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