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Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.
Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes
S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, and N. Navab · 2012
Earlier work this paper cites.
Microsoft COCO: Common objects in context
T. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
FlowNet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazırbaş, V. Golkov, P. v.d. Smagt, D. Cremers, and T. Brox · 2015
Earlier work this paper cites.
The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
Earlier work this paper cites.
Multi-view convolutional neural networks for 3D shape recognition
H. Su, S. Maji, E. Kalogerakis, and E. Learned-Miller · 2015
Cited alongside, same era.
Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2016
Cited alongside, same era.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
Cited alongside, same era.
BB8: A scalable, accurate, robust to partial occlusion method for predicting the 3D poses of challenging objects without using depth
M. Rad and V. Lepetit · 2017
Cited alongside, same era.
URL: www.unrealengine.com
Unreal Engine 4
Cited in the paper.
3D-RCNN: Instance-level 3D object reconstruction via render-and-compare
A. Kundu, Y. Li, and J. M. Rehg · 2018
Later among the works it cites.
A unified framework for multi-view multi-class object pose estimation
C. Li, J. Bai, and G. D. Hager · 2018
Later among the works it cites.
DeepIM: Deep iterative matching for 6D pose estimation
Y. Li, G. Wang, X. Ji, Y. Xiang, and D. Fox · 2018
Later among the works it cites.
PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2018
Later among the works it cites.
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