Set-based Feature Aggregation
Set-Based Feature Aggregation is a feature aggregation method that operates on unordered collections of features by applying permutation-invariant operations to extract compact, representative descriptors from set-structured inputs.
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2017–2026
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Multicolumn Networks for Face Recognition
Weidi Xie, Andrew Zisserman · arXiv (Cornell University) · 2018 · 79 citations · Full text
A novel set pair analysis method based on variable weights for liquefaction evaluation
Mingwu Wang, Peng Xu, Jian Li et al. · Natural Hazards · 2013 · 27 citations
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Stellenbosch University
Stellenbosch, South Africa
1 h-index
2 publications
100 citations

Hefei University of Technology
Hefei, China
1 h-index
4 publications
108 citations
University of Oxford
Oxford, United Kingdom
1 h-index
2 publications
42 citations
Jawaharlal Nehru Technological University, Hyderabad
Hyderabad, India
1 h-index
1 publications
22 citations
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1 publications · 50 citations
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1 publications · 22 citations
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1 publications · 27 citations
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Repository · 1 publications · 21 citations
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Repository · 1 publications · 79 citations
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