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The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation

The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation

18 March 2020
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
ArXivPDFHTML

Papers citing "The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation"

3 / 3 papers shown
Title
SOLOv2: Dynamic and Fast Instance Segmentation
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang
Rufeng Zhang
Tao Kong
Lei Li
Chunhua Shen
SSeg
ISeg
56
98
0
23 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
768
0
30 Mar 2018
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd
Andreas Doumanoglou
R. Kouskouridas
S. Malassiotis
Tae-Kyun Kim
3DPC
113
227
0
23 Dec 2015
1