翻译 References1 Adel Ahmadyan Liangkai Zhang Artsiom Ablavatski Jianing Wei and Matthias Grundmann Objectron A large scale dataset of object-centric videos in the wild with pose annotations In Procee
参考文献 [1] Adel Ahmadyan, Liangkai Zhang, Artsiom Ablavatski, Jianing Wei, and Matthias Grundmann. Objectron: A large scale dataset of object-centric videos in the wild with pose annotations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 7822–7831, 2021. 1 [2] Dengsheng Chen, Jun Li, Zheng Wang, and Kai Xu. Learning canonical shape space for category-level 6D object pose and size estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11973–11982, 2020. 1, 2, 3 [3] Kai Chen and Qi Dou. SGPA: Structure-guided prior adaptation for category-level 6D object pose estimation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 2773–2782, 2021. 1, 2, 3, 5, 6 [4] Christopher Choy, JunYoung Gwak, and Silvio Savarese. 4d spatio-temporal convnets: Minkowski convolutional neural networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3075–3084, 2019. 6 [5] Yang Fu and Xiaolong Wang. Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset. arXiv preprint arXiv:2206.15436, 2022. 2, 3, 5, 6 [6] Wei Gao and Russ Tedrake. kpam 2.0: Feedback control for category-level robotic manipulation. IEEE Robotics and Automation Letters (RA-L), 6(2):2962–2969, 2021. 1 [7] Richard Hartley and Andrew Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2003. 2 [8] Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Gir-´ shick. Mask r-cnn. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 2961–2969, 2017. 3, 5 [9] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–778, 2016. 6 [10] Sergey Ioffe and Christian Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning (ICML), pages 448–456, 2015. 3 [11] Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, and Adrien Gaidon. ShAPO: Implicit representations for multi-object shape, appearance, and pose optimization. arXiv preprint arXiv:2207.13691, 2022. 3
原文地址: http://www.cveoy.top/t/topic/hQTi 著作权归作者所有。请勿转载和采集!