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While 6D object pose estimation has recently made a huge leap forward, most methods can still only handle a single or a handful of different objects, which limits their applications.
Least-squares estimation of transformation parameters between two point patterns
Shinji Umeyama · 1991
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3d generic object categorization, localization and pose estimation
Silvio Savarese and Li Fei-Fei · 2007
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Pose estimation for category specific multiview object localization
Mustafa Ozuysal, Vincent Lepetit, and Pascal Fua · 2009
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Deformable part models revisited: A performance evaluation for object category pose estimation
Roberto J López-Sastre, Tinne Tuytelaars, and Silvio Savarese · 2011
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Gradient Response Maps for Real-Time Detection of Textureless Objects
Stefan Hinterstoisser, Cedric Cagniart, Slobodan Ilic, Peter Sturm, Nassir Navab, Pascal Fua, and Vincent Lepetit · 2012
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Learning descriptors for object recognition and 3d pose estimation
Paul Wohlhart and Vincent Lepetit · 2015
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Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
Wadim Kehl, Fausto Milletari, Federico Tombari, Slobodan Ilic, and Nassir Navab · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again
Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, and Nassir Navab · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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A unified framework for multi-view multi-class object pose estimation
Chi Li, Jin Bai, and Gregory D Hager · 2018
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Deep model-based 6d pose refinement in rgb
Fabian Manhardt, Wadim Kehl, Nassir Navab, and Federico Tombari · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Category-level 6d object pose recovery in depth images
Caner Sahin and Tae-Kyun Kim · 2018
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Implicit 3d orientation learning for 6d object detection from rgb images
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, and Rudolph Triebel · 2018
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PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
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DeepIM: Deep iterative matching for 6d pose estimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2019
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CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
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On the variance of the adaptive learning rate and beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Jiawei Han · 2019
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Explaining the ambiguity of object detection and 6d pose from visual data
Fabian Manhardt, Diego Martin Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, and Federico Tombari · 2019
Cited alongside, same era.
Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation
Kiru Park, Timothy Patten, and Markus Vincze · 2019
Cited alongside, same era.
Pvnet: Pixel-wise voting network for 6dof pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, and Hujun Bao · 2019
Cited alongside, same era.
Deep multi-state object pose estimation for augmented reality assembly
Yongzhi Su, Jason Rambach, Nareg Minaskan, Paul Lesur, Alain Pagani, and Didier Stricker · 2019
Cited alongside, same era.
Densefusion: 6d object pose estimation by iterative dense fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, and Silvio Savarese · 2019
Cited alongside, same era.
Convolution in the cloud: Learning deformable kernels in 3d graph convolution networks for point cloud analysis
Zhi-Hao Lin, Sheng-Yu Huang, and Yu-Chiang Frank Wang · 2020
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Fabian Manhardt, Gu Wang, Benjamin Busam, Manuel Nickel, Sven Meier, Luca Minciullo, Xiangyang Ji, and Nassir Navab · 2020
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Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, and Jian Jun Zhang · 2020
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Hybridpose: 6d object pose estimation under hybrid representations
Chen Song, Jiaru Song, and Qixing Huang · 2020
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Multi-path learning for object pose estimation across domains
Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Narunas Vaskevicius, Kai O Arras, and Rudolph Triebel · 2020
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Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, and Silvio Savarese · 2019
Cited alongside, same era.
Normalized object coordinate space for category-level 6d object pose and size estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J Guibas · 2019
Cited alongside, same era.
Dpod: Dense 6d pose object detector in rgb images
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
Cited alongside, same era.
Lookahead optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba, and Geoffrey E Hinton · 2019
Cited alongside, same era.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Cited alongside, same era.
Learning canonical shape space for category-level 6d object pose and size estimation
Dengsheng Chen, Jun Li, Zheng Wang, and Kai Xu · 2020
Cited alongside, same era.
G2l-net: Global to local network for real-time 6d pose estimation with embedding vector features
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, and Ales Leonardis · 2020
Cited alongside, same era.
Later among the works it cites.
Shape prior deformation for categorical 6d object pose and size estimation
Meng Tian, Marcelo H Ang, and Gim Hee Lee · 2020
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6-pack: Category-level 6d pose tracker with anchor-based keypoints
Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, and Yuke Zhu · 2020
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Gradient centralization: A new optimization technique for deep neural networks
Hongwei Yong, Jianqiang Huang, Xiansheng Hua, and Lei Zhang · 2020
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Asymmetric two-stream architecture for accurate rgb-d saliency detection
Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, and Huchuan Lu · 2020
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Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation
Kai Chen and Qi Dou · 2021
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Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Shen Linlin, and Ales Leonardis · 2021
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So-pose: Exploiting self-occlusion for direct 6d pose estimation
Yan Di, Fabian Manhardt, Gu Wang, Xiangyang Ji, Nassir Navab, and Federico Tombari · 2021
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Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, and Jian Sun · 2021
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Donet: Learning category-level 6d object pose and size estimation from depth observation
Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, and Xiangyang Xue · 2021
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Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, and Yuanqing Li · 2021
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Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation
Gu Wang, Fabian Manhardt, Federico Tombari, and Xiangyang Ji · 2021
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Category-level 6d object pose estimation via cascaded relation and recurrent reconstruction networks
Jiaze Wang, Kai Chen, and Qi Dou · 2021
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Captra: Category-level pose tracking for rigid and articulated objects from point clouds
Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, and Leonidas J Guibas · 2021
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Holistic 3d scene understanding from a single image with implicit representation
Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, and Shuaicheng Liu · 2021
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