Multi-label Annotation
Multi-Label Annotation is a type of image annotation method in which a single image is assigned multiple non-exclusive labels to capture the presence of several distinct visual concepts or objects simultaneously.
207
Publications
13.5K
Citations
748
Authors
319
Institutions
Publications per year
2017–2026
123
Parents
207
PTB-XL, a large publicly available electrocardiography dataset
Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot et al. · Scientific Data · 2020 · 1.1K citations · Full text
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, José María Salinas et al. · Medical Image Analysis · 2020 · 674 citations · Full text
Im2Calories: Towards an Automated Mobile Vision Food Diary
Austin Myers, Nick Johnston, Vivek Rathod et al. · 2015 · 497 citations
Correlative multi-label video annotation
Guo-Jun Qi, Xian‐Sheng Hua, Yong Rui et al. · 2007 · 478 citations
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319
The Gordon Life Science Institute
Boston, United States
7 h-index
14 publications
2K citations
National University of Singapore
Singapore, Singapore
7 h-index
19 publications
5.7K citations

Zhejiang University
Hangzhou, China
7 h-index
33 publications
1.5K citations
Microsoft Research Asia (China)
Beijing, China
7 h-index
15 publications
2.7K citations
Jingdezhen Ceramic Institute
Jingdezhen, China
7 h-index
17 publications
2.2K citations
The University of Texas at Arlington
Arlington, United States
6 h-index
14 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
751 citations

Indian Institute of Technology Hyderabad
Sangāreddi, India
5 h-index
18 publications
934 citations
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Repository · 9 publications · 497 citations
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6 publications · 429 citations
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6 publications · 277 citations
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Conference · 5 publications · 449 citations
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Conference · 5 publications · 365 citations
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