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OrthographicNet: A Deep Transfer Learning Approach for 3D Object
  Recognition in Open-Ended Domains

OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains

8 February 2019
H. Kasaei
ArXivPDFHTML

Papers citing "OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains"

4 / 4 papers shown
Title
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
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
22
12
0
18 Mar 2020
Object Perception and Grasping in Open-Ended Domains
Object Perception and Grasping in Open-Ended Domains
S. Kasaei
11
0
0
25 Jul 2019
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic
  Manipulation
Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation
S. Kasaei
Nima Shafii
Luís Seabra Lopes
A. Tomé
11
21
0
04 Apr 2019
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
124
227
0
23 Dec 2015
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