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This paper presents an approach to estimating the continuous 6-DoF pose of an object from a single RGB image.
Multi-view matching network for 6d pose estimation
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The MOPED framework: Object recognition and pose estimation for manipulation
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3D shape regression for real-time facial animation
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Boumal, N., Mishra, B., Absil, P.-A., and Sepulchre, R. (2014) · 2014
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Learning 6D object pose estimation using 3D object coordinates
Brachmann, E., Krull, A., Michel, F., Gumhold, S., Shotton, J., and Rother, C. (2014) · 2014
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DeepPose: Human pose estimation via deep neural networks
Toshev, A. and Szegedy, C. (2014) · 2014
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Beyond PASCAL: A benchmark for 3D object detection in the wild
Xiang, Y., Mottaghi, R., and Savarese, S. (2014) · 2014
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Single image 3D object detection and pose estimation for grasping
Zhu, M., Derpanis, K. G., Yang, Y., Brahmbhatt, S., Zhang, M., Phillips, C., Lecce, M., and Daniilidis, K. (2014) · 2014
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The ycb object and model set: Towards common benchmarks for manipulation research
Calli, B., Singh, A., Walsman, A., Srinivasa, S., Abbeel, P., and Dollar, A. M. (2015) · 2015
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Robust reconstruction of indoor scenes
Choi, S., Zhou, Q.-Y., and Koltun, V. (2015) · 2015
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Deeply-supervised nets
Lee, C.-Y., Xie, S., Gallagher, P., Zhang, Z., and Tu, Z. (2015) · 2015
BOP: Benchmark for 6D object pose estimation
Hodaň, T., Michel, F., Brachmann, E., Kehl, W., Glent Buch, A., Kraft, D., Drost, B., Vidal, J., Ihrke, S., Zabulis, X., Sahin, C., Manhardt, F., Tombari, F., Kim, T.-K., Matas, J., and Rother, C. (2018) · 2018
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Deepim: Deep iterative matching for 6d pose estimation
Li, Y., Wang, G., Ji, X., Xiang, Y., and Fox, D. (2018) · 2018
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Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes
Marion, P., Florence, P. R., Manuelli, L., and Tedrake, R. (2018) · 2018
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6-DoF object pose from semantic keypoints
Pavlakos, G., Zhou, X., Chan, A., Derpanis, K. G., and Daniilidis, K. (2017) · 2018
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Real-time seamless single shot 6d object pose prediction
Tekin, B., Sinha, S. N., and Fua, P. (2018) · 2018
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Deep object pose estimation for semantic robotic grasping of household objects
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Faster R-CNN: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., and Sun, J. (2015) · 2015
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Viewpoints and keypoints
Tulsiani, S. and Malik, J. (2015) · 2015
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Real-time large-scale dense rgb-d slam with volumetric fusion
Whelan, T., Kaess, M., Johannsson, H., Fallon, M., Leonard, J. J., and McDonald, J. (2015) · 2015
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Single image pop-up from discriminatively learned parts
Zhu, M., Zhou, X., and Daniilidis, K. (2015) · 2015
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Uncertainty-driven 6D pose estimation of objects and scenes from a single rgb image
Brachmann, E., Michel, F., Krull, A., Ying Yang, M., Gumhold, S., et al. (2016) · 2016
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Real-time scalable 6DOF pose estimation for textureless objects
Cao, Z., Sheikh, Y., and Banerjee, N. (2016) · 2016
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Tremblay, J., To, T., Sundaralingam, B., Xiang, Y., Fox, D., and Birchfield, S. (2018) · 2018
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Reactive navigation in partially known non-convex environments
Vasilopoulos, V. and Koditschek, D. E. (2018) · 2018
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Starmap for category-agnostic keypoint and viewpoint estimation
Zhou, X., Karpur, A., Luo, L., and Huang, Q. (2018) · 2018
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Segmentation-driven 6d object pose estimation
Hu, Y., Hugonot, J., Fua, P., and Salzmann, M. (2019) · 2019
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Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Li, Z., Wang, G., and Ji, X. (2019) · 2019
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Kpam: Keypoint affordances for category-level robotic manipulation
Manuelli, L., Gao, W., Florence, P., and Tedrake, R. (2019) · 2019
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Reducing the cost of visual DL datasets
Osteen, P. R., Owens, J. L., and Kaukeinen, B. (2019) · 2019
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Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation
Park, K., Patten, T., and Vincze, M. (2019) · 2019
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Pvnet: Pixel-wise voting network for 6dof pose estimation
Peng, S., Liu, Y., Huang, Q., Zhou, X., and Bao, H. (2019) · 2019
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Keto: Learning keypoint representations for tool manipulation
Qin, Z., Fang, K., Zhu, Y., Fei-Fei, L., and Savarese, S. (2019) · 2019
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6-pack: Category-level 6D pose tracker with anchor-based keypoints
Wang, C., Martín-Martín, R., Xu, D., Lv, J., Lu, C., Fei-Fei, L., Savarese, S., and Zhu, Y. (2019) · 2019
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Unsupervised data augmentation for consistency training
Xie, Q., Dai, Z., Hovy, E., Luong, M.-T., and Le, Q. V. (2019) · 2019
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Craves: Controlling robotic arm with a vision-based economic system
Zuo, Y., Qiu, W., Xie, L., Zhong, F., Wang, Y., and Yuille, A. L. (2019) · 2019
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Epos: estimating 6d pose of objects with symmetries
Hodan, T., Barath, D., and Matas, J. (2020) · 2020
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BOP challenge 2020 on 6D object localization
Hodaň, T., Sundermeyer, M., Drost, B., Labbé, Y., Brachmann, E., Michel, F., Rother, C., and Matas, J. (2020) · 2020
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Gsnet: Joint vehicle pose and shape reconstruction with geometrical and scene-aware supervision
Ke, L., Li, S., Sun, Y., Tai, Y.-W., and Tang, C.-K. (2020) · 2020
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Toward fieldable human-scale mobile manipulation using RoMan
Kessens, C. C., Fink, J., Hurwitz, A., Kaplan, M., Osteen, P. R., Rocks, T., Rogers, J., Stump, E., Quang, L., DiBlasi, M., Gonzalez, M., Patel, D., Patel, J., Patel, S., Weiker, M., Bowkett, J., Detry, R., Karumanchi, S., Burdick, J., Matthies, L., Oza, Y., Agarwal, A., Dornbush, A., Likhachev, M., Schmeckpeper, K., Daniilidis, K., Kamat, A., Choudhury, S., Mandalika, A., and Srinivasa, S. (2020) · 2020
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Cosypose: Consistent multi-view multi-object 6d pose estimation
Labbé, Y., Carpentier, J., Aubry, M., and Sivic, J. (2020) · 2020
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Leaping from 2d detection to efficient 6dof object pose estimation
Liu, J., Zou, Z., Ye, X., Tan, X., Ding, E., Xu, F., and Yu, X. (2020) · 2020
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An integrated perception pipeline for robot mission execution in unstructured environments
Narayanan, P., Yeh, B., Holmes, E., Martucci, S., Schmeckpeper, K., Mertz, C., Osteen, P., and Wigness, M. (2020) · 2020
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Fixmatch: Simplifying semi-supervised learning with consistency and confidence
Sohn, K., Berthelot, D., Li, C.-L., Zhang, Z., Carlini, N., Cubuk, E. D., Kurakin, A., Zhang, H., and Raffel, C. (2020) · 2020
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Hybridpose: 6d object pose estimation under hybrid representations
Song, C., Song, J., and Huang, Q. (2020) · 2020
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Augmented autoencoders: Implicit 3d orientation learning for 6d object detection
Sundermeyer, M., Marton, Z.-C., Durner, M., and Triebel, R. (2020) · 2020
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Self6d: Self-supervised monocular 6d object pose estimation
Wang, G., Manhardt, F., Shao, J., Ji, X., Navab, N., and Tombari, F. (2020) · 2020
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Discriminatively trained templates for 3D object detection: A real time scalable approach
Rios-Cabrera, R. and Tuytelaars, T. (2013) · 2055
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