Source-domain Representation
Source-Domain Representation is a cognitive-linguistic construct within visual metaphor theory that designates the visual or perceptual instantiation of the source domain, through which non-literal meaning is generated by mapping structural and semantic properties from a more concrete or familiar domain onto a target domain in visual or multimodal contexts.
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10.1K
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392
Authors
156
Institutions
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2017–2026
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Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan et al. · 2017 · 1.6K citations
Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang et al. · 2018 · 1.2K citations
Metaphor Scenarios in Public Discourse
Metaphor and Symbol · 2005 · 652 citations · Full text
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University of Science and Technology of China
Hefei, China
6 h-index
18 publications
906 citations

National Taiwan University
Taipei, Taiwan
4 h-index
10 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
3.4K citations
Institute of Automation
Beijing, China
3 h-index
5 publications
233 citations

The University of Sydney
Sydney, Australia
3 h-index
6 publications
555 citations

Chongqing University
Chongqing, China
3 h-index
8 publications
278 citations
National University of Singapore
Singapore, Singapore
3 h-index
4 publications
365 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
4 publications
115 citations
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Repository · 15 publications · 441 citations
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5 publications · 789 citations
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Conference · 3 publications · 310 citations
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2 publications · 57 citations
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