AIMC Topic: Visual Perception

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Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception?

Annual review of vision science Mar 31, 2023
Deep neural networks (DNNs) are machine learning algorithms that have revolutionized computer vision due to their remarkable successes in tasks like object classification and segmentation. The success of DNNs as computer vision algorithms has led to ...
Algorithms Visual Perception Humans Neural Networks, Computer Machine Learning
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Robust deep learning object recognition models rely on low frequency information in natural images.

PLoS computational biology Mar 27, 2023
Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robus...
Humans Neural Networks, Computer Head Visual Perception Machine Learning Deep Learning
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EXPLORE: a novel deep learning-based analysis method for exploration behaviour in object recognition tests.

Scientific reports Mar 14, 2023
Object recognition tests are widely used in neuroscience to assess memory function in rodents. Despite the experimental simplicity of the task, the interpretation of behavioural features that are counted as object exploration can be complicated. Thus...
Deep Learning Visual Perception Recognition, Psychology Software Animals Humans Neural Networks, Computer
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Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.

Nature communications Mar 11, 2023
Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli are found in many animal species across different sensory modalities. By mimicking the multisensory integration of ocular-vestibular cues for enhance...
Visual Perception Humans Cognition Space Perception Robotics Brain Mammals Animals Cues
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Unsupervised learning reveals interpretable latent representations for translucency perception.

PLoS computational biology Feb 8, 2023
Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is important but challenging because a given material can appear dramatically different in various sce...
Visual Perception Perception Attitude Lighting Humans Imaging, Three-Dimensional Unsupervised Machine Learning
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Deeper neural network models better reflect how humans cope with contrast variation in object recognition.

Neuroscience research Jan 19, 2023
Visual inputs are far from ideal in everyday situations such as in the fog where the contrasts of input stimuli are low. However, human perception remains relatively robust to contrast variations. To provide insights about the underlying mechanisms o...
Pattern Recognition, Visual Photic Stimulation Humans Visual Perception Neural Networks, Computer
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Emergent color categorization in a neural network trained for object recognition.

eLife Dec 13, 2022
Color is a prime example of categorical perception, yet it is unclear why and how color categories emerge. On the one hand, prelinguistic infants and several animals treat color categorically. On the other hand, recent modeling endeavors have success...
Animals Neural Networks, Computer Color Humans Communication Visual Perception Infant
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Resolving the neural mechanism of core object recognition in space and time: A computational approach.

Neuroscience research Dec 9, 2022
The underlying mechanism of object recognition- a fundamental brain ability- has been investigated in various studies. However, balancing between the speed and accuracy of recognition is less explored. Most of the computational models of object recog...
Brain Pattern Recognition, Visual Humans Visual Perception Recognition, Psychology Neural Networks, Computer
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Development of a Visual Perception System on a Dual-Arm Mobile Robot for Human-Robot Interaction.

Sensors (Basel, Switzerland) Dec 6, 2022
This paper presents the development of a visual-perception system on a dual-arm mobile robot for human-robot interaction. This visual system integrates three subsystems. Hand gesture recognition is utilized to trigger human-robot interaction. Engagem...
Robotics Visual Perception Humans Algorithms
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Deep problems with neural network models of human vision.

The Behavioral and brain sciences Dec 1, 2022
Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more ...
Humans Neural Networks, Computer Vision, Ocular Visual Perception Brain Magnetic Resonance Imaging
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