Results 21 to 30 of about 569,009 (312)
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems [PDF]
Computer Vision and Pattern Recognition, 2023 Self-supervised learning (SSL) strategies have demonstrated remarkable performance in various recognition tasks. However, both our preliminary investigation and recent studies suggest that they may be less effective in learning representations for fine ...
Yangyang Shu +2 more
semanticscholar +1 more source
Electrical synapses for a pooling layer of the convolutional neural network in retinas
Frontiers in Cellular Neuroscience, 2023 We have an example of a synergetic effect between neuroscience and connectome via artificial intelligence. The invention of Neocognitron, a machine learning algorithm, was inspired by the visual cortical circuitry for complex cells to be made by ...
Yoshihiko Tsukamoto +2 more
doaj +1 more source
Large Scale Visual Food Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Food recognition plays an important role in food choice and intake, which is essential to the health and well‐being of humans. It is thus of importance to the computer vision community, and can further support many food-oriented vision and multimodal ...
Weiqing Min +7 more
semanticscholar +1 more source
Frontiers in Human Neuroscience, 2021 The human brain consists of anatomically distant neuronal assemblies that are interconnected via a myriad of synapses. This anatomical network provides the neurophysiological wiring framework for functional connectivity (FC), which is essential for ...
Orestis Stylianou +12 more
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Momentum Contrast for Unsupervised Visual Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2019 We present Momentum Contrast (MoCo) for unsupervised visual representation learning. From a perspective on contrastive learning as dictionary look-up, we build a dynamic dictionary with a queue and a moving-averaged encoder. This enables building a large
Kaiming He +4 more
semanticscholar +1 more source
Spatiotemporal neural dynamics of object recognition under uncertainty in humans
eLife, 2023 While there is a wealth of knowledge about core object recognition—our ability to recognize clear, high-contrast object images—how the brain accomplishes object recognition tasks under increased uncertainty remains poorly understood.
Yuan-hao Wu, Ella Podvalny, Biyu J He
doaj +1 more source
Temporal Visual Patterns of Construction Hazard Recognition Strategies [PDF]
International Journal of Environmental Research and Public Health, 2021 Visual cognitive strategies in construction hazard recognition (CHR) signifies prominent value for the development of CHR computer vision techniques and safety training. Nonetheless, most studies are based on either sparse fixations or cross-sectional (accumulative) statistics, which lack consideration of temporality and yielding limited visual pattern
Rui Cheng, Jiaming Wang, Pin-Chao Liao
openaire +2 more sources
Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories
Sensors, 2020 Urban traffic pattern reflects how people move and how goods are transported, which is crucial for traffic management and urban planning. With the development of sensing techniques, accumulated sensor data are captured for monitoring vehicles, which also
Qi Wang, Min Lu, Qingquan Li
doaj +1 more source
Investigative Ophthalmology and Visual Science, 2017 Purpose To determine the locus of test locations that exhibit statistically similar age-related decline in sensitivity to light increments and age-corrected contrast sensitivity isocontours (CSIs) across the central visual field (VF).
Jack Phu +8 more
semanticscholar +1 more source
Vision, 2023 Individuals with cerebral visual impairment (CVI) frequently report challenges with face recognition, and subsequent difficulties with social interactions.
Corinna M. Bauer +5 more
doaj +1 more source