Image-based Augmentation
Image-Based Augmentation is an augmentation technique that modifies or enhances visual content by integrating computer-generated elements directly into real-world images, distinguishing itself from other augmentation methods through its reliance on static or dynamic image data as the primary input for rendering and alignment.
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6K
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410
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180
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2017–2026
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Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network
Curtis Wigington, Seth Stewart, Brian Davis et al. · 2017 · 175 citations
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SRM University
Sonīpat, India
3 h-index
3 publications
60 citations
The University of Tokyo
Tokyo, Japan
3 h-index
7 publications
394 citations

Skolkovo Institute of Science and Technology
Skolkovo, Russia
3 h-index
16 publications
331 citations

Bar-Ilan University
Ramat Gan, Israel
2 h-index
1 publications
1.9K citations
Fujifilm (Japan)
Tokyo, Japan
2 h-index
8 publications
668 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
3 publications
314 citations
Stanford University
Stanford, United States
2 h-index
12 publications
318 citations

Juntendo University
Tokyo, Japan
2 h-index
2 publications
167 citations
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6 publications · 286 citations
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4 publications · 179 citations
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4 publications · 92 citations
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3 publications · 75 citations
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CAGEO · 2 publications · 129 citations
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