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A Multi-task Learning Framework for Grasping-Position Detection and
  Few-Shot Classification

A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification

12 March 2020
Yasuto Yokota
Kanata Suzuki
Yuzi Kanazawa
T. Takebayashi
ArXivPDFHTML

Papers citing "A Multi-task Learning Framework for Grasping-Position Detection and Few-Shot Classification"

5 / 5 papers shown
Title
Cross-Modulation Networks for Few-Shot Learning
Cross-Modulation Networks for Few-Shot Learning
Hugo Prol
Vincent Dumoulin
Luis Herranz
49
15
0
01 Dec 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
194
4,035
0
16 Nov 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
166
2,948
0
20 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
284
7,286
0
13 Jun 2016
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
166
4,653
0
21 Dec 2014
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