AIMC Topic: Pattern Recognition, Visual

Clear Filters Showing 41 to 50 of 145 articles

Capturing human categorization of natural images by combining deep networks and cognitive models.

Nature communications Oct 27, 2020
Human categorization is one of the most important and successful targets of cognitive modeling, with decades of model development and assessment using simple, low-dimensional artificial stimuli. However, it remains unclear how these findings relate t...
Humans Deep Learning Models, Psychological Judgment Pattern Recognition, Visual Visual Cortex Cognition Decision Making Memory
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On the robustness of skeleton detection against adversarial attacks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2020
Human perception of an object's skeletal structure is particularly robust to diverse perturbations of shape. This skeleton representation possesses substantial advantages for parts-based and invariant shape encoding, which is essential for object rec...
Pattern Recognition, Visual Skeleton Deep Learning Pattern Recognition, Automated Biometric Identification Humans
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Probing the neural dynamics of mnemonic representations after the initial consolidation.

NeuroImage Jul 31, 2020
Memories are not stored as static engrams, but as dynamic representations affected by processes occurring after initial encoding. Previous studies revealed changes in activity and mnemonic representations in visual processing areas, parietal lobe, an...
Cerebral Cortex Memory, Episodic Mental Recall Pattern Recognition, Visual Spatial Memory Association Learning Memory Consolidation Adolescent Brain Mapping Support Vector Machine Cues Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Hippocampus Female Young Adult Adult Male
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Improved object recognition using neural networks trained to mimic the brain's statistical properties.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2020
The current state-of-the-art object recognition algorithms, deep convolutional neural networks (DCNNs), are inspired by the architecture of the mammalian visual system, and are capable of human-level performance on many tasks. As they are trained for...
Pattern Recognition, Visual Animals Models, Neurological Visual Cortex Neural Networks, Computer Pattern Recognition, Automated Haplorhini
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Depth in convolutional neural networks solves scene segmentation.

PLoS computational biology Jul 24, 2020
Feed-forward deep convolutional neural networks (DCNNs) are, under specific conditions, matching and even surpassing human performance in object recognition in natural scenes. This performance suggests that the analysis of a loose collection of image...
Female Reproducibility of Results Young Adult Adult Humans Neural Networks, Computer Brain Visual Perception Pattern Recognition, Visual Visual Cortex Recognition, Psychology Male Adolescent Signal Processing, Computer-Assisted
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Capsule networks as recurrent models of grouping and segmentation.

PLoS computational biology Jul 21, 2020
Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, ...
Image Processing, Computer-Assisted Computer Simulation Vision, Ocular Humans Computational Biology Female Neural Networks, Computer Normal Distribution Models, Biological Reproducibility of Results Algorithms Pattern Recognition, Visual Male
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Behavioral Activity Recognition Based on Gaze Ethograms.

International journal of neural systems Jun 9, 2020
Noninvasive behavior observation techniques allow more natural human behavior assessment experiments with higher ecological validity. We propose the use of gaze ethograms in the context of user interaction with a computer display to characterize the ...
Machine Learning Writing Eye-Tracking Technology Humans Support Vector Machine Pattern Recognition, Visual Pattern Recognition, Automated Fixation, Ocular Motor Activity Reading
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The interplay between multisensory integration and perceptual decision making.

NeuroImage May 23, 2020
Facing perceptual uncertainty, the brain combines information from different senses to make optimal perceptual decisions and to guide behavior. However, decision making has been investigated mostly in unimodal contexts. Thus, how the brain integrates...
Pattern Recognition, Visual Auditory Perception Signal Detection, Psychological Humans Psychomotor Performance Models, Theoretical Female Cerebral Cortex Young Adult Adult Decision Making Concept Formation Male Electroencephalography Functional Neuroimaging Supervised Machine Learning
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Local features and global shape information in object classification by deep convolutional neural networks.

Vision research May 12, 2020
Deep convolutional neural networks (DCNNs) show impressive similarities to the human visual system. Recent research, however, suggests that DCNNs have limitations in recognizing objects by their shape. We tested the hypothesis that DCNNs are sensitiv...
Form Perception Humans Cues Neural Networks, Computer Pattern Recognition, Visual Algorithms Visual Cortex Deep Learning Models, Neurological
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Crowding in humans is unlike that in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2020
Object recognition is a primary function of the human visual system. It has recently been claimed that the highly successful ability to recognise objects in a set of emergent computer vision systems-Deep Convolutional Neural Networks (DCNNs)-can form...
Recognition, Psychology Crowding Pattern Recognition, Automated Humans Photic Stimulation Neural Networks, Computer Visual Perception Artificial Intelligence Pattern Recognition, Visual
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