about
Towards a mathematical theory of cortical micro-circuits.Invariant visual object recognition and shape processing in ratsIdentifying object categories from event-related EEG: toward decoding of conceptual representationsA high-throughput screening approach to discovering good forms of biologically inspired visual representationSimplified automated image analysis for detection and phenotyping of Mycobacterium tuberculosis on porous supports by monitoring growing microcoloniesOn Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationImagenet classification with deep convolutional neural networksA rodent model for the study of invariant visual object recognitionNewborn chickens generate invariant object representations at the onset of visual object experienceImage-level and group-level models for Drosophila gene expression pattern annotationUsing the axis of elongation to align shapes: developmental changes between 18 and 24 months of age.Performance-optimized hierarchical models predict neural responses in higher visual cortex.How can selection of biologically inspired features improve the performance of a robust object recognition model?A neuromorphic architecture for object recognition and motion anticipation using burst-STDPTop-down feedback in an HMAX-like cortical model of object perception based on hierarchical Bayesian networks and belief propagationDeep neural networks rival the representation of primate IT cortex for core visual object recognition.A hierarchical probabilistic model for rapid object categorization in natural scenesDynamics of 3D view invariance in monkey inferotemporal cortex.Neural discriminability in rat lateral extrastriate cortex and deep but not superficial primary visual cortex correlates with shape discriminability.How does the brain solve visual object recognition?Comparison of Object Recognition Behavior in Human and MonkeyInvariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNetSimple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.Recurrent Processing during Object RecognitionEvaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods.Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.Linear and Non-Linear Visual Feature Learning in Rat and Humans.What are the Visual Features Underlying Rapid Object Recognition?Online learning with (multiple) kernels: a review.A conceptual framework of computations in mid-level vision.Using goal-driven deep learning models to understand sensory cortex.Human Pose Estimation from Monocular Images: A Comprehensive Survey.Feedforward object-vision models only tolerate small image variations compared to human.Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion.Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing.Shape recognition: convexities, concavities and things in between.From faces to hands: Changing visual input in the first two yearsDeep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition.What can neuromorphic event-driven precise timing add to spike-based pattern recognition?Learning feature representations with a cost-relevant sparse autoencoder.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Why is real-world visual object recognition hard?
@ast
Why is real-world visual object recognition hard?
@en
Why is real-world visual object recognition hard?
@en-gb
Why is real-world visual object recognition hard?
@nl
type
label
Why is real-world visual object recognition hard?
@ast
Why is real-world visual object recognition hard?
@en
Why is real-world visual object recognition hard?
@en-gb
Why is real-world visual object recognition hard?
@nl
altLabel
Why is Real-World Visual Object Recognition Hard?
@en
prefLabel
Why is real-world visual object recognition hard?
@ast
Why is real-world visual object recognition hard?
@en
Why is real-world visual object recognition hard?
@en-gb
Why is real-world visual object recognition hard?
@nl
P2860
P3181
P1476
Why is real-world visual object recognition hard?
@en
P2093
James J DiCarlo
Nicolas Pinto
P2860
P3181
P356
10.1371/JOURNAL.PCBI.0040027
P407
P50
P577
2008-01-01T00:00:00Z