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How Useful Is Photo-Realistic Rendering for Visual Learning?
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Metadata
- Authors
- Movshovitz-Attias, Y., Kanade, T., & Sheikh, Y.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Movshovitz-Attias, Yair
- ORCID
- Sheikh, Yaser
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 202-217
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2315410813
- Cited by
- 118
- References
- 25
- Citations by year
- 2025: 8 · 2024: 7 · 2023: 11 · 2022: 12 · 2021: 26 · 2020: 16 · 2019: 21 · 2018: 9 · 2017: 7 · 2016: 1
- FWCI
- 6.83
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- photorealistic rendering, synthetic data, domain adaptation, visual learning
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