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Segmenting unseen objects in cluttered scenes is an important skill that robots need to acquire in order to perform tasks in new environments.
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U-Net: Convolutional networks for biomedical image segmentation
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H. Oh Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016
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Pybullet, a python module for physics simulation for games, robotics and machine learning
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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ClusterNet: 3D instance segmentation in RGB-D images
L. Shao, Y. Tian, and J. Bohg · 2018
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Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
P. R. Florence, L. Manuelli, and R. Tedrake · 2018
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6-DOF graspnet: Variational grasp generation for object manipulation
A. Mousavian, C. Eppner, and D. Fox · 2019
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The best of both modes: Separately leveraging RGB and depth for unseen object instance segmentation
C. Xie, Y. Xiang, A. Mousavian, and D. Fox · 2019
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Segmenting unknown 3D objects from real depth images using mask R-CNN trained on synthetic data
M. Danielczuk, M. Matl, S. Gupta, A. Li, A. Lee, J. Mahler, and K. Goldberg · 2019
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J. Mahler, J. Liang, S. Niyaz, M. Laskey, R. Doan, X. Liu, J. A. Ojea, and K. Goldberg · 2017
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Semantic scene completion from a single depth image
S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser · 2017
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Semantic instance segmentation with a discriminative loss function
B. De Brabandere, D. Neven, and L. Van Gool · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2018
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Deep object pose estimation for semantic robotic grasping of household objects
J. Tremblay, T. To, B. Sundaralingam, Y. Xiang, D. Fox, and S. Birchfield · 2018
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SceneCut: Joint geometric and object segmentation for indoor scenes
T. T. Pham, T.-T. Do, N. Sünderhauf, and I. Reid · 2018
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EasyLabel: A semi-automatic pixel-wise object annotation tool for creating robotic RGB-D datasets
M. Suchi, T. Patten, D. Fischinger, and M. Vincze · 2019
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Object discovery in videos as foreground motion clustering
C. Xie, Y. Xiang, Z. Harchaoui, and D. Fox · 2019
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A simple framework for contrastive learning of visual representations
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton · 2020
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CURL: Contrastive unsupervised representations for reinforcement learning
A. Srinivas, M. Laskin, and P. Abbeel · 2020
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6-DOF grasping for target-driven object manipulation in clutter
A. Murali, A. Mousavian, C. Eppner, C. Paxton, and D. Fox · 2020
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Unseen object instance segmentation for robotic environments
C. Xie, Y. Xiang, A. Mousavian, and D. Fox · 2020
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