Applying artificial vision models to human scene understanding.

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Applying artificial vision models to human scene understanding.

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2015 nî lūn-bûn

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2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2015 թվականի փետրվարին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Applying artificial vision models to human scene understanding.

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Applying artificial vision models to human scene understanding.

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Applying artificial vision models to human scene understanding.

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P1476

Applying artificial vision models to human scene understanding.

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P2093

Abhinav Gupta

http://www.w3.org/2001/XMLSchema#string

Abhinav Shrivastava

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Ishan Misra

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Mariya Toneva

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Michael J Tarr

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Xinlei Chen

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P2860

Parametric Coding of the Size and Clutter of Natural Scenes in the Human Brain.

Deep supervised, but not unsupervised, models may explain IT cortical representation

Different roles of the parahippocampal place area (PPA) and retrosplenial cortex (RSC) in panoramic scene perception.

Recognition of natural scenes from global properties: seeing the forest without representing the trees.

Detecting and adjusting for artifacts in fMRI time series data

Task-specific codes for face recognition: how they shape the neural representation of features for detection and individuation

Thinking outside the box: rectilinear shapes selectively activate scene-selective cortex

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

Natural scene statistics account for the representation of scene categories in human visual cortex.

Object unitization and associative memory formation are supported by distinct brain regions.

P304

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P31

scholarly article

P356

10.3389/FNCOM.2015.00008

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P478

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P50

Elissa M Aminoff

P577

2015-02-04T00:00:00Z

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P5875

271850412

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P698

25698964

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P932

4316773

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