ISO-690 (author-date, English)

LI, Zhentao, GUO, Zhiyang, FENG, Yun, ZHANG, Guanjun, WANG, Panfeng und WU, Wenlei, 2025. Swin-AFF: an improved accuracy 6 D pose estimation network for high reflection and texture-less workpieces based on Swin transformer. Visual Computer. 1 September 2025. Vol. 41, no. 11, p. 8795-8812. DOI 10.1007/s00371-025-03900-1.

Elsevier - Harvard (with titles)

Li, Z., Guo, Z., Feng, Y., Zhang, G., Wang, P., Wu, W., 2025. Swin-AFF: an improved accuracy 6 D pose estimation network for high reflection and texture-less workpieces based on Swin transformer. Visual Computer 41, 8795-8812. https://doi.org/10.1007/s00371-025-03900-1

American Psychological Association 7th edition

Li, Z., Guo, Z., Feng, Y., Zhang, G., Wang, P., & Wu, W. (2025). Swin-AFF: an improved accuracy 6 D pose estimation network for high reflection and texture-less workpieces based on Swin transformer. Visual Computer, 41(11), 8795-8812. https://doi.org/10.1007/s00371-025-03900-1

Springer - Basic (author-date)

Li Z, Guo Z, Feng Y, Zhang G, Wang P, Wu W (2025) Swin-AFF: an improved accuracy 6 D pose estimation network for high reflection and texture-less workpieces based on Swin transformer.. Visual Computer 41:8795-8812. https://doi.org/10.1007/s00371-025-03900-1

Juristische Zitierweise (Stüber) (Deutsch)

Li, Zhentao/ Guo, Zhiyang/ Feng, Yun/ Zhang, Guanjun/ Wang, Panfeng/ Wu, Wenlei, Swin-AFF: an improved accuracy 6 D pose estimation network for high reflection and texture-less workpieces based on Swin transformer., Visual Computer 2025, 8795-8812.

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