A Lightweight Two-End Feature Fusion Network for Object 6D Pose Estimation
Currently, many methods of object pose estimation use images or point clouds alone for pose estimation. This leads to their inability to accurately estimate the object pose in the case of occlusion and poor illumination. Second, these models have large parameters and cannot be deployed on mobile dev...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2022-04-01
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| Serija: | Machines |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2075-1702/10/4/254 |
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