Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition

Moqian Tian; Kalanit Grill-Spector

doi:10.1167/15.6.7

Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition

Journal of Vision ◽

10.1167/15.6.7 ◽

2015 ◽

Vol 15 (6) ◽

pp. 7 ◽

Cited By ~ 4

Author(s):

Moqian Tian ◽

Kalanit Grill-Spector

Keyword(s):

Object Recognition ◽

Unsupervised Learning ◽

Spatiotemporal Information ◽

Invariant Object Recognition

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Viewpoint invariant object recognition: Spatiotemporal information during unsupervised learning enhances generalization

Journal of Vision ◽

10.1167/14.10.1305 ◽

2014 ◽

Vol 14 (10) ◽

pp. 1305-1305

Author(s):

M. Tian ◽

K. Grill-Spector

Keyword(s):

Object Recognition ◽

Unsupervised Learning ◽

Spatiotemporal Information ◽

Invariant Object Recognition

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Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition

Neurocomputing ◽

10.1016/j.neucom.2016.04.029 ◽

2016 ◽

Vol 205 ◽

pp. 382-392 ◽

Cited By ~ 49

Author(s):

Saeed Reza Kheradpisheh ◽

Mohammad Ganjtabesh ◽

Timothée Masquelier

Keyword(s):

Object Recognition ◽

Unsupervised Learning ◽

Visual Features ◽

Invariant Object Recognition

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Spatio-temporal information is not necessary for generating view-point invariant object recognition during unsupervised learning

Journal of Vision ◽

10.1167/13.9.263 ◽

2013 ◽

Vol 13 (9) ◽

pp. 263-263

Author(s):

M. Tian ◽

K. Grill-Spector

Keyword(s):

Object Recognition ◽

Unsupervised Learning ◽

Temporal Information ◽

View Point ◽

Invariant Object Recognition ◽

Spatio Temporal ◽

Point Invariant

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The Development of View-Dependent and View-Invariant Object Recognition Into Adolescence

PsycEXTRA Dataset ◽

10.1037/e512682013-189 ◽

2007 ◽

Author(s):

Martin Juttner ◽

Alexander Muller ◽

Ingo Rentschler

Keyword(s):

Object Recognition ◽

Invariant Object Recognition

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View-Invariant Object Recognition Is Learned by Pigeons Through Reward Prediction Error

PsycEXTRA Dataset ◽

10.1037/e520602012-308 ◽

2011 ◽

Author(s):

Edward A. Wasserman ◽

Fabian A. Soto

Keyword(s):

Object Recognition ◽

Prediction Error ◽

Reward Prediction Error ◽

Reward Prediction ◽

Invariant Object Recognition

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Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex

10.21236/ada459692 ◽

2004 ◽

Cited By ~ 56

Author(s):

Thomas Serre ◽

Maximilian Riesenhuber

Keyword(s):

Object Recognition ◽

Complex Cell ◽

Realistic Modeling ◽

Invariant Object Recognition ◽

Simple And Complex Cell

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Invariant object recognition using a neural template classifier

Image and Vision Computing ◽

10.1016/0262-8856(95)01065-3 ◽

1996 ◽

Vol 14 (7) ◽

pp. 473-483 ◽

Cited By ~ 6

Author(s):

H.W. Tang ◽

V. Srinivasan ◽

S.H. Ong

Keyword(s):

Object Recognition ◽

Invariant Object Recognition

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Shift-Invariant And Distortion-Invariant Object Recognition

10.1117/12.937930 ◽

1983 ◽

Cited By ~ 1

Author(s):

David Casasent ◽

Vinod Sharma

Keyword(s):

Object Recognition ◽

Invariant Object Recognition

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Invariant object recognition via surface reconstruction neural networks

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1992.227344 ◽

2003 ◽

Cited By ~ 2

Author(s):

J.-N. Hwang ◽

H. Li

Keyword(s):

Neural Networks ◽

Object Recognition ◽

Surface Reconstruction ◽

Invariant Object Recognition

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A neural network for invariant object recognition in a robotic environment

10.1109/ijcnn.1989.118465 ◽

1989 ◽

Author(s):

Lyon ◽

Keyword(s):

Neural Network ◽

Object Recognition ◽

Invariant Object Recognition

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