Model Confidence Maps
Model Confidence Maps is a visualization technique that represents the spatial distribution of a predictive model's confidence in its outputs across an input domain, distinguishing itself by mapping localized uncertainty estimates to provide interpretable, pixel-level confidence assessments.
32
Publications
1.2K
Citations
131
Authors
60
Institutions
Publications per year
2017–2026
28
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Recurrently Target-Attending Tracking
Zhen Cui, Shengtao Xiao, Jiashi Feng et al. · 2016 · 149 citations
Rich Image Captioning in the Wild
Kenneth Tran, Xiaodong He, Lei Zhang et al. · 2016 · 106 citations
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Zhejiang University
Hangzhou, China
4 h-index
12 publications
543 citations
Wuhan University
Wuhan, China
2 h-index
2 publications
24 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
447 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
1 publications
21 citations
Institut Mines-Télécom
Palaiseau, France
1 h-index
2 publications
40 citations
Southwest University
Chongqing, China
1 h-index
3 publications
111 citations

University of Agriculture Faisalabad
Faisalabad, Pakistan
1 h-index
1 publications
65 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
1 h-index
2 publications
40 citations
1–8 of 60
Repository · 3 publications · 83 citations
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2 publications · 58 citations
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1 publications · 11 citations
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1 publications · 65 citations
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Repository · 1 publications · 85 citations
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