Results 1 to 10 of about 1,098,703 (325)
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition [PDF]
arXiv, 2016 The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations therein remain poorly understood. Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an ...
arxiv
Aging and Pattern Complexity Effects on the Visual Span: Evidence from Chinese Character Recognition
Vision, 2019 Research suggests that pattern complexity (number of strokes) limits the visual span for Chinese characters, and that this may have important consequences for reading.
Fang Xie +6 more
doaj +1 more source
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
, 2018 A number of studies have found that today's Visual Question Answering (VQA) models are heavily driven by superficial correlations in the training data and lack sufficient image grounding.
Agrawal, Aishwarya +3 more
core +1 more source
Автоматизация технологических и бизнес-процессов. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information.
V. Vodyanitskyi, V. Yuskovych-Zhukovska
doaj +1 more source
Characterizing Visual Intents for People with Low Vision through Eye Tracking [PDF]
arXivAccessing visual information is crucial yet challenging for people with low vision due to their visual conditions (e.g., low visual acuity, limited visual field). However, unlike blind people, low vision people have and prefer using their functional vision in daily tasks.
arxiv
Visual memory of meaningless shapes in children and adolescents with autism spectrum disorders.
Iranian Journal of Psychiatry, 2012 Visual memory is an important cognitive ability, which has been studied in individuals with Autism Spectrum Disorders (ASDs). In such studies meaningful shapes were used more frequently.
Maryam Salmanian +3 more
doaj +2 more sources
Clothing Pattern Recognition For Visually Impaired People
, 2017 It is very difficult for visually impaired people to choose clothes with different patterns and colors. Pattern Recognition method can be implemented to carry out automatic cloth pattern recognition with machine learning approach. For researchers, automatic clothing pattern recognition as a challenging research problem due to the factors of large intra
TEJAS WALVEKAR, PRATIBHA REDDY
openaire +2 more sources
From Codes to Patterns: Designing Interactive Decoration for Tableware [PDF]
, 2013 We explore the idea of making aesthetic decorative patterns that contain multiple visual codes. We chart an iterative collaboration with ceramic designers and a restaurant to refine a recognition technology to work reliably on ceramics, produce a pattern
Ali, Shakir +7 more
core
Visual pattern recognition using neural networks [PDF]
, 1995 Neural networks have been widely studied in a number of fields, such as neural architectures, neurobiology, statistics of neural network and pattern classification.
Moh, Jenlong
core +1 more source
Real-time Yemeni Currency Detection [PDF]
arXivBanknote recognition is a major problem faced by visually Challenged people. So we propose a application to help the visually Challenged people to identify the different types of Yemenian currencies through deep learning technique. As money has a significant role in daily life for any business transactions, real-time detection and recognition of ...
arxiv