Results 41 to 50 of about 4,996,743 (329)
Visual Representation Learning for Preference-Aware Path Planning [PDF]
IEEE International Conference on Robotics and Automation, 2021 Autonomous mobile robots deployed in outdoor environments must reason about different types of terrain for both safety (e.g., prefer dirt over mud) and deployer preferences (e.g., prefer dirt path over flower beds).
Kavan Singh Sikand +5 more
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Review of Visual Representation Learning [PDF]
Jisuanji kexueRepresentation learning is an important step of artificial intelligence algorithm,where well designed representation can boost downstream tasks.With the development of deep learning in computer vision,visual representation learning has become ...
WANG Shuaiwei, LEI Jie, FENG Zunlei, LIANG Ronghua
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Science Education International, 2020 The objective of this study was to analyze visual representations of redox reactions and related content in four Brazilian secondary school chemistry textbooks.
Luciane Fernandes Goes +4 more
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Societies, 2020 This paper advocates for the importance of visual communication rights for older people to avoid “visual ageism,” described as media practices of visually underrepresenting older people or misrepresenting them in a prejudiced way.
Loredana Ivan +2 more
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Anti-Trafficking Review, 2016 Past research has looked at how the media frames human trafficking, but has seldom included analysis of visual representations. To bridge this gap, this paper scrutinises stereotypical representations of persons trafficked into the sex industry in ...
Elena Krsmanovic
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Swedish Journal of Romanian Studies, 2018 In 2018 Romania will celebrate the centenary of the Union of 1918, or the Great Union, when all Romanian provinces united into one state: Great Romania, a national ideal which Romanians strove for and achieved on the battlefield and which the Trianon ...
Marina Cristiana Rotaru
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Revisiting Self-Supervised Visual Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2019 Unsupervised visual representation learning remains a largely unsolved problem in computer vision research. Among a big body of recently proposed approaches for unsupervised learning of visual representations, a class of self-supervised techniques ...
Alexander Kolesnikov +2 more
semanticscholar +1 more source
Journal of Aesthetics & Culture, 2018 This article discusses photographs of Sámi people produced in 1883 and 1884 by the Danish-Norwegian scholar and photographer Sophus Tromholt (1851–1896) and G. Roche, the expedition photographer of the French prince, Roland Bonaparte (1858–1924).
Sigrid Lien
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The use of political cartoons during popular protests: the case of the 2011 Tunisia uprising
Journal of English Studies, 2017 This study investigates the use of political cartoons in the Tunisian context during its transitory phase in the aftermath of the 2011 uprising. It explores how political cartoons were used to critically reflect the socioeconomic and geopolitical ...
Chaker Ali Mhamdi
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Semantic representation for visual reasoning [PDF]
MATEC Web of Conferences, 2019 In the field of visual reasoning, image features are widely used as the input of neural networks to get answers. However, image features are too redundant to learn accurate characterizations for regular networks.
Ni Xubin +5 more
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