Swin-AFF: an improved accuracy 6D pose estimation network for high reflection and texture-less workpieces based on Swin transformer

Zhentao Li; Zhiyang Guo; Yunjiang Feng; Guanjun Zhang; Panfeng Wang; Wenlei Wu

doi:10.1007/s00371-025-03900-1

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Swin-AFF: an improved accuracy 6D pose estimation network for high reflection and texture-less workpieces based on Swin transformer

Zhentao Li Zhiyang Guo Yunjiang Feng Guanjun Zhang Panfeng Wang Wenlei Wu

Year: 2025 Journal: The Visual Computer Vol: 41 (11)Pages: 8795-8812 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-025-03900-1

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Keywords:

Transformer Computer science Artificial intelligence Computer vision Reflection (computer programming) Pose Texture (cosmology) Computer graphics Computer graphics (images) Engineering Image (mathematics) Electrical engineering

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Advanced Surface Polishing Techniques

Physical Sciences → Engineering → Biomedical Engineering

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Measurement and Metrology Techniques

Physical Sciences → Engineering → Mechanical Engineering

Swin-AFF: an improved accuracy 6D pose estimation network for high reflection and texture-less workpieces based on Swin transformer

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