Multi-label Recognition
Multi-Label Recognition is a computer vision task that involves identifying and localizing multiple distinct object categories within a single image, where each object instance may belong to more than one semantic class simultaneously.
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35.3K
Citations
1.8K
Authors
583
Institutions
Publications per year
2017–2026
378
Parents
515
Grigorios Tsoumakas, Ioannis Katakis · International Journal of Data Warehousing and Mining · 2007 · 2.5K citations
Multi-Label Image Recognition With Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang et al. · 2019 · 1.2K citations
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang, Yi Yang, Junhua Mao et al. · 2016 · 1.2K citations
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583

Sun Yat-sen University
Guangzhou, China
16 h-index
57 publications
6.4K citations
Nanjing University
Nanjing, China
12 h-index
34 publications
5.5K citations

Harbin Institute of Technology
Harbin, China
11 h-index
40 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
28 publications
2.1K citations

Peking University
Beijing, China
10 h-index
26 publications
2.3K citations
Jingdezhen Ceramic Institute
Jingdezhen, China
10 h-index
20 publications
5.3K citations

Beijing Institute of Technology
Beijing, China
9 h-index
22 publications
980 citations

University of Electronic Science and Technology of China
Chengdu, China
9 h-index
23 publications
1.1K citations
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Repository · 49 publications · 1.9K citations
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21 publications · 1.1K citations
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Conference · 15 publications · 924 citations
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13 publications · 883 citations
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