Label Consistency Control
Label Consistency Control is a methodological framework within labeling control that ensures uniformity and coherence in label assignment across data instances by enforcing predefined semantic or structural constraints to mitigate inconsistencies arising from subjective or contextual variations in annotation practices.
53
Publications
7.9K
Citations
192
Authors
91
Institutions
Publications per year
2017–2026
26
Parents
53
Learning to Detect Salient Objects with Image-Level Supervision
Lijun Wang, Huchuan Lu, Yifan Wang et al. · 2017 · 1.3K citations
Human Parsing with Contextualized Convolutional Neural Network
Xiaodan Liang, Chunyan Xu, Xiaohui Shen et al. · 2015 · 271 citations
1–5 of 53
192
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Indraprastha Institute of Information Technology Delhi, India
2 publications · 75 citations
2
h-index
1–5 of 192
91

Sun Yat-sen University
Guangzhou, China
4 h-index
8 publications
795 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
5 publications
288 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
110 citations

Beijing Normal University
Beijing, China
3 h-index
17 publications
360 citations
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
1K citations
Oxford Brookes University
Oxford, United Kingdom
2 h-index
4 publications
2.2K citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
2 publications
350 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
4 publications
490 citations
1–8 of 91
TPAMI · 4 publications · 374 citations
4
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3 publications · 305 citations
3
h-index
3 publications · 60 citations
3
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2 publications · 96 citations
2
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GRSL · 2 publications · 55 citations
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1–5