SS-Pose: Self-Supervised 6-D Object Pose Representation Learning Without Rendering

Object pose estimation has extensive applications in various industrial scenarios. However, the heavy reliance on dense 6-D annotation and textured object models has become a significant obstacle to the widespread industrial application of 6-D object pose estimation methods. In this work, we present...

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Veröffentlicht in:IEEE transactions on industrial informatics 2024-01, Vol.20 (12), p.13665-13675
Hauptverfasser: Mu, Fengjun, Huang, Rui, Zhang, Jingting, Zou, Chaobin, Shi, Kecheng, Sun, Shixiang, Zhan, Huayi, Zhao, Pengbo, Qiu, Jing, Cheng, Hong
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Sprache:eng
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