Feedforward object-vision models only tolerate small image variations compared to human
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Feedforward object-vision models only tolerate small image variations compared to human
Authors
Keywords
-
Journal
Frontiers in Computational Neuroscience
Volume 8, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2014-07-18
DOI
10.3389/fncom.2014.00074
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Decoding Neural Representational Spaces Using Multivariate Pattern Analysis
- (2014) James V. Haxby et al. Annual Review of Neuroscience
- Do we understand high-level vision?
- (2014) David Daniel Cox CURRENT OPINION IN NEUROBIOLOGY
- Resolving human object recognition in space and time
- (2014) Radoslaw Martin Cichy et al. NATURE NEUROSCIENCE
- Performance-optimized hierarchical models predict neural responses in higher visual cortex
- (2014) D. L. K. Yamins et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Toolbox for Representational Similarity Analysis
- (2014) Hamed Nili et al. PLoS Computational Biology
- Vision: are models of object recognition catching up with the brain?
- (2013) Tomaso Poggio et al. Annals of the New York Academy of Sciences
- Detecting meaning in RSVP at 13 ms per picture
- (2013) Mary C. Potter et al. Attention Perception & Psychophysics
- Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
- (2013) Nikola T. Markov et al. JOURNAL OF COMPARATIVE NEUROLOGY
- The dynamics of invariant object recognition in the human visual system
- (2013) Leyla Isik et al. JOURNAL OF NEUROPHYSIOLOGY
- Multifeatural Shape Processing in Rats Engaged in Invariant Visual Object Recognition
- (2013) A. Alemi-Neissi et al. JOURNAL OF NEUROSCIENCE
- Population-code representations of natural images across human visual areas
- (2013) L. Henriksson et al. JOURNAL OF VISION
- Representational dynamics of object vision: The first 1000 ms
- (2013) T. Carlson et al. JOURNAL OF VISION
- A functional and perceptual signature of the second visual area in primates
- (2013) Jeremy Freeman et al. NATURE NEUROSCIENCE
- Trade-off between curvature tuning and position invariance in visual area V4
- (2013) T. O. Sharpee et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Newborn chickens generate invariant object representations at the onset of visual object experience
- (2013) Justin N. Wood PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons
- (2013) Carlo Baldassi et al. PLoS Computational Biology
- The Limits of Feedforward Vision: Recurrent Processing Promotes Robust Object Recognition when Objects Are Degraded
- (2012) Dean Wyatte et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream
- (2012) N. C. Rust et al. JOURNAL OF NEUROSCIENCE
- Toward a Unified Theory of Visual Area V4
- (2012) Anna W. Roe et al. NEURON
- How Does the Brain Solve Visual Object Recognition?
- (2012) James J. DiCarlo et al. NEURON
- How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?
- (2012) Masoud Ghodrati et al. PLoS One
- A Stable Biologically Motivated Learning Mechanism for Visual Feature Extraction to Handle Facial Categorization
- (2012) Karim Rajaei et al. PLoS One
- Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
- (2012) Edmund T. Rolls Frontiers in Computational Neuroscience
- Recurrent Processing in V1/V2 Contributes to Categorization of Natural Scenes
- (2011) M. Koivisto et al. JOURNAL OF NEUROSCIENCE
- High temporal resolution decoding of object position and category
- (2011) T. A. Carlson et al. JOURNAL OF VISION
- Selectivity and Tolerance ("Invariance") Both Increase as Visual Information Propagates from Cortical Area V4 to IT
- (2010) N. C. Rust et al. JOURNAL OF NEUROSCIENCE
- On the limits of feed-forward processing in visual object recognition
- (2010) G. Kreiman et al. JOURNAL OF VISION
- Encoding and decoding in fMRI
- (2010) Thomas Naselaris et al. NEUROIMAGE
- Functional Compartmentalization and Viewpoint Generalization Within the Macaque Face-Processing System
- (2010) W. A. Freiwald et al. SCIENCE
- Relating population-code representations between man, monkey, and computational models
- (2010) Nikolaus Kriegeskorte Frontiers in Neuroscience
- A neural model of the temporal dynamics of figure–ground segregation in motion perception
- (2009) Florian Raudies et al. NEURAL NETWORKS
- Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
- (2008) Jim Mutch et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Feedforward and Recurrent Processing in Scene Segmentation: Electroencephalography and Functional Magnetic Resonance Imaging
- (2008) H. Steven Scholte et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
- (2008) Nikolaus Kriegeskorte et al. NEURON
- Why is Real-World Visual Object Recognition Hard?
- (2008) Nicolas Pinto et al. PLoS Computational Biology
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search