Literature DB >> 10234223

Learning to recognize objects.

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Abstract

Evidence from neurophysiological and psychological studies is coming together to shed light on how we represent and recognize objects. This review describes evidence supporting two major hypotheses: the first is that objects are represented in a mosaic-like form in which objects are encoded by combinations of complex, reusable features, rather than two-dimensional templates, or three-dimensional models. The second hypothesis is that transform-invariant representations of objects are learnt through experience, and that this learning is affected by the temporal sequence in which different views of the objects are seen, as well as by their physical appearance.

Year:  1999        PMID: 10234223     DOI: 10.1016/s1364-6613(98)01261-3

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  20 in total

1.  Effects of temporal association on recognition memory.

Authors:  G Wallis; H H Bülthoff
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-03       Impact factor: 11.205

2.  Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2012-06-19       Impact factor: 2.380

3.  Role of ordinal contrast relationships in face encoding.

Authors:  Sharon Gilad; Ming Meng; Pawan Sinha
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-10       Impact factor: 11.205

4.  Unsupervised natural experience rapidly alters invariant object representation in visual cortex.

Authors:  Nuo Li; James J DiCarlo
Journal:  Science       Date:  2008-09-12       Impact factor: 47.728

5.  Distributed representation of objects in the human ventral visual pathway.

Authors:  A Ishai; L G Ungerleider; A Martin; J L Schouten; J V Haxby
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

6.  Spatiotemporal information during unsupervised learning enhances viewpoint invariant object recognition.

Authors:  Moqian Tian; Kalanit Grill-Spector
Journal:  J Vis       Date:  2015       Impact factor: 2.240

7.  Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex.

Authors:  Xiaoxuan Jia; Ha Hong; James J DiCarlo
Journal:  Elife       Date:  2021-06-11       Impact factor: 8.140

8.  Perceptual learning of view-independence in visuo-haptic object representations.

Authors:  Simon Lacey; Marisa Pappas; Alexandra Kreps; Kevin Lee; K Sathian
Journal:  Exp Brain Res       Date:  2009-05-31       Impact factor: 1.972

9.  Invariant object recognition based on extended fragments.

Authors:  Evgeniy Bart; Jay Hegdé
Journal:  Front Comput Neurosci       Date:  2012-08-24       Impact factor: 2.380

10.  Exploiting temporal continuity of views to learn visual object invariance.

Authors:  Evgeniy Bart; Jay Hegdé
Journal:  Front Neurosci       Date:  2013-03-01       Impact factor: 4.677

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