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One-shot learning
One-shot learning is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object…
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Related topics
Related topics
12 relations
Computer vision
Conditional random field
Constellation model
Feature detection (computer vision)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu
,
S. Gibson
,
Margarita Osadchy
arXiv.org
2018
Corpus ID: 52069275
Deep Learning shows very good performance when trained on large labeled data sets. The problem of training a deep net on a few or…
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2018
2018
Learning Multi-Step Robotic Tasks from Observation
Wonjoon Goo
,
S. Niekum
arXiv.org
2018
Corpus ID: 195347325
2017
2017
One-Shot Learning in Discriminative Neural Networks
Jordan Burgess
,
J. Lloyd
,
Zoubin Ghahramani
arXiv.org
2017
Corpus ID: 32440695
We consider the task of one-shot learning of visual categories. In this paper we explore a Bayesian procedure for updating a…
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2016
2016
Cognitive Discriminative Mappings for Rapid Learning
Wen-Chieh Fang
,
Yi-Ting Chiang
arXiv.org
2016
Corpus ID: 12174804
Humans can learn concepts or recognize items from just a handful of examples, while machines require many more samples to perform…
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2013
2013
Attribute-based knowledge transfer learning for human pose estimation
Feng Li
,
Shu-Ren Zhou
,
Jianming Zhang
,
Dengyong Zhang
,
Lingyun Xiang
Neurocomputing
2013
Corpus ID: 207103532
2013
2013
Principal motion components for gesture recognition using a single-example
Hugo Jair Escalante
,
Isabelle M Guyon
,
V. Athitsos
,
Pat Jangyodsuk
,
Jun Wan
arXiv.org
2013
Corpus ID: 18089301
This paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered…
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2013
2013
Binary image classification using genetic programming based on local binary patterns
Harith Al-Sahaf
,
Mengjie Zhang
,
Mark Johnston
Image and Vision Computing New Zealand
2013
Corpus ID: 1941917
Image classification represents an important task in machine learning and computer vision. To capture features covering a…
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Review
2010
Review
2010
Generalizing over Several Learning Settings
Anna Kasprzik
International Conference on Graphics and…
2010
Corpus ID: 8530789
We recapitulate inference from membership and equivalence queries, positive and negative samples. Regular languages cannot be…
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2010
2010
Learning and Invariance in a Family of Hierarchical Kernels
Andre Wibisono
,
J. Bouvrie
,
L. Rosasco
,
T. Poggio
2010
Corpus ID: 6685492
Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why…
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2007
2007
Demonstration of PLOW: A Dialogue System for One-Shot Task Learning
James F. Allen
,
Nathanael Chambers
,
+4 authors
William Taysom
North American Chapter of the Association for…
2007
Corpus ID: 33378828
We describe a system that can learn new procedure models effectively from one demonstration by the user. Previous work to learn…
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