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2203.00403
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OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
1 March 2022
N. Passalis
S. Pedrazzi
Robert Babuška
W. Burgard
D. Dias
F. Ferro
Moncef Gabbouj
O. Green
Alexandros Iosifidis
E. Kayacan
Jens Kober
O. Michel
N. Nikolaidis
P. Nousi
R. Pieters
M. Tzelepi
A. Valada
A. Tefas
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Papers citing
"OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics"
4 / 4 papers shown
Title
Deep Active Perception for Object Detection using Navigation Proposals
Stefanos Ginargiros
Nikolaos Passalis
Anastasios Tefas
ObjD
26
0
0
15 Dec 2023
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework
Abdelhakim Amer
Olaya Álvarez-Tunón
Halil Ibrahim Ugurlu
Jonas Le Fevre Sejersen
Yury Brodskiy
Erdal Kayacan
44
19
0
18 Oct 2023
Efficient Online Processing with Deep Neural Networks
Lukas Hedegaard
31
0
0
23 Jun 2023
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)
Pierre Zins
Yuanlu Xu
Edmond Boyer
Stefanie Wuhrer
Tony Tung
15
9
0
31 Aug 2022
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