4.7 Article

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

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

Saeed Reza Kheradpisheh et al.

NEUROCOMPUTING (2016)

Article Neurosciences

Fast ventral stream neural activity enables rapid visual categorization

Maxime Cauchoix et al.

NEUROIMAGE (2016)

Article Neurosciences

Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex

Mayu Nishimura et al.

JOURNAL OF COGNITIVE NEUROSCIENCE (2015)

Article Neurosciences

Comparison of Object Recognition Behavior in Human and Monkey

Rishi Rajalingham et al.

JOURNAL OF NEUROSCIENCE (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Computer Science, Artificial Intelligence

Detection guided deconvolutional network for hierarchical feature learning

Jing Liu et al.

PATTERN RECOGNITION (2015)

Article Psychology

Does object view influence the scene consistency effect?

Gergo Sastyin et al.

ATTENTION PERCEPTION & PSYCHOPHYSICS (2015)

Article Psychology

Detecting meaning in RSVP at 13 ms per picture

Mary C. Potter et al.

ATTENTION PERCEPTION & PSYCHOPHYSICS (2014)

Review Biochemistry & Molecular Biology

Neural Networks and Neuroscience-Inspired Computer Vision

David Daniel Cox et al.

CURRENT BIOLOGY (2014)

Article Neurosciences

Reaction Time for Object Categorization Is Predicted by Representational Distance

Thomas A. Carlson et al.

JOURNAL OF COGNITIVE NEUROSCIENCE (2014)

Article Neurosciences

The dynamics of invariant object recognition in the human visual system

Leyla Isik et al.

JOURNAL OF NEUROPHYSIOLOGY (2014)

News Item Multidisciplinary Sciences

THE LEARNING MACHINES

Nicola Jones

NATURE (2014)

Article Multidisciplinary Sciences

Performance-optimized hierarchical models predict neural responses in higher visual cortex

Daniel L. K. Yamins et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Article Biochemical Research Methods

A Toolbox for Representational Similarity Analysis

Hamed Nili et al.

PLOS COMPUTATIONAL BIOLOGY (2014)

Article Biochemical Research Methods

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Charles F. Cadieu et al.

PLOS COMPUTATIONAL BIOLOGY (2014)

Article Biochemical Research Methods

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

Seyed-Mahdi Khaligh-Razavi et al.

PLOS COMPUTATIONAL BIOLOGY (2014)

Article Neurosciences

Multifeatural Shape Processing in Rats Engaged in Invariant Visual Object Recognition

Alireza Alemi-Neissi et al.

JOURNAL OF NEUROSCIENCE (2013)

Article Ophthalmology

Representational dynamics of object vision: The first 1000 ms

Thomas Carlson et al.

JOURNAL OF VISION (2013)

Review Neurosciences

Top-down influences on visual processing

Charles D. Gilbert et al.

NATURE REVIEWS NEUROSCIENCE (2013)

Review Behavioral Sciences

Representational geometry: integrating cognition, computation, and the brain

Nikolaus Kriegeskorte et al.

TRENDS IN COGNITIVE SCIENCES (2013)

Article Psychology, Multidisciplinary

Recurrent processing during object recognition

Randall C. O'Reilly et al.

FRONTIERS IN PSYCHOLOGY (2013)

Article Psychology, Multidisciplinary

Human object-similarity judgments reflect and transcend the primate-IT object representation

Marieke Mur et al.

FRONTIERS IN PSYCHOLOGY (2013)

Article Neurosciences

Learning selective top-down control enhances performance in a visual categorization task

Mario Pannunzi et al.

JOURNAL OF NEUROPHYSIOLOGY (2012)

Review Neurosciences

How Does the Brain Solve Visual Object Recognition?

James J. DiCarlo et al.

NEURON (2012)

Article Computer Science, Artificial Intelligence

LIBSVM: A Library for Support Vector Machines

Chih-Chung Chang et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)

Review Psychology, Multidisciplinary

The timing of visual object categorization

Michael L. Mack et al.

FRONTIERS IN PSYCHOLOGY (2011)

Review Psychology, Multidisciplinary

The characteristics and limits of rapid visual categorization

Michele Fabre-Thorpe

FRONTIERS IN PSYCHOLOGY (2011)

Article Ophthalmology

On the limits of feed-forward processing in visual object recognition

G. Kreiman et al.

JOURNAL OF VISION (2010)

Article Computer Science, Artificial Intelligence

A neural model of the temporal dynamics of figure-ground segregation in motion perception

Florian Raudies et al.

NEURAL NETWORKS (2010)

Article Biochemical Research Methods

Why is real-world visual object recognition hard?

Nicolas Pinto et al.

PLOS COMPUTATIONAL BIOLOGY (2008)

Review Behavioral Sciences

The role of context in object recognition

Aude Oliva et al.

TRENDS IN COGNITIVE SCIENCES (2007)

Review Behavioral Sciences

Untangling invariant object recognition

James J. DiCarlo et al.

TRENDS IN COGNITIVE SCIENCES (2007)

Article Multidisciplinary Sciences

A feedforward architecture accounts for rapid categorization

Thomas Serre et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)

Article Computer Science, Artificial Intelligence

Robust object recognition with cortex-like mechanisms

Thomas Serre et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)

Article Biochemical Research Methods

Unsupervised learning of visual features through spike timing dependent plasticity

Timothee Masquelier et al.

PLOS COMPUTATIONAL BIOLOGY (2007)

Article Multidisciplinary Sciences

A cortical region consisting entirely of face-selective cells

DY Tsao et al.

SCIENCE (2006)

Article Multidisciplinary Sciences

Fast readout of object identity from macaque inferior temporal cortex

CP Hung et al.

SCIENCE (2005)

Article Neurosciences

Faces and objects in macaque cerebral cortex

DY Tsao et al.

NATURE NEUROSCIENCE (2003)

Article Neurosciences

Masking interrupts figure-ground signals in V1

VAF Lamme et al.

JOURNAL OF COGNITIVE NEUROSCIENCE (2002)

Article Neurosciences

Figure-ground segregation in a recurrent network architecture

PR Roelfsema et al.

JOURNAL OF COGNITIVE NEUROSCIENCE (2002)

Article Neurosciences

The time course of visual processing: From early perception to decision-making

R VanRullen et al.

JOURNAL OF COGNITIVE NEUROSCIENCE (2001)

Review Neurosciences

The distinct modes of vision offered by feedforward and recurrent processing

VAF Lamme et al.

TRENDS IN NEUROSCIENCES (2000)