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Free sign up"visual understanding" is a grammatically correct and commonly used phrase in written English.
It refers to the ability or act of comprehending something through visual means, such as through images, diagrams, or videos. You can use "visual understanding" when discussing topics related to perception, cognition, or learning. For example: - "The students showed a strong visual understanding of the concept after watching the educational video." - "The artist's work demonstrates a deep visual understanding of light and shadow." - "Children often develop language skills through visual understanding, by associating words with images." - "Being able to communicate ideas through visual understanding can greatly enhance cross-cultural communication."
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"We built software that tries to understand this type of content in the same way that a person would understand it… To try to imitate the visual understanding because one thing we don't want people to have to do is to reformat stuff so that it works for this.
Visual understanding can transcend language.
Guo, Y. et al. Deep learning for visual understanding: A review.
The Civil War remains vivid in our visual understanding because it was so well photographed.
Pawan Sinha explores the cognitive dynamics behind our visual understanding of the world around us.
Given the models and image measurements, visual understanding can be formulated as a probabilistic inference problem.
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Modeling social evaluation and attribution, visual scene understanding and common-sense physical reasoning.
They consist of visual pattern understanding problems on which the task of the pattern perceiver is to find an abstract aspect of distinction between two classes of figures.
In a world that seems to be taking a "visual turn," understanding the history and workings of visual culture has assumed an increasing importance.
For better visual and understanding, 2D modeling has been used for this study.
Their work ranges from using deep learning for visual scene understanding to autonomous decision-making in uncertain environments.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com