Publisher
Springer International Publishing
Reference35 articles.
1. Krull, A., Brachmann, E., Michel, F., Yang, M.Y., Gumhold, S., Rother, C.: Learning analysis-by-synthesis for 6D pose estimation in RGB-D images. In: International Conference on Computer Vision (2015)
2. Kehl, W., Manhardt, F., Tombari, F., Ilic, S., Navab, N.: SSD-6D: making RGB-based 3D detection and 6D pose estimation great again. In: International Conference on Computer Vision (2017)
3. Xiang, Y., Schmidt, T., Narayanan, V., Fox, D.: PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes. In: Robotics: Science and Systems Conference (2018)
4. Jafari, O.H., Mustikovela, S.K., Pertsch, K., Brachmann, E., Rother, C.: iPose: instance-aware 6D pose estimation of partly occluded objects. CoRR abs/1712.01924 (2017)
5. Rad, M., Lepetit, V.: BB8: a scalable, accurate, robust to partial occlusion method for predicting the 3D poses of challenging objects without using depth. In: International Conference on Computer Vision (2017)
Cited by
161 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献