Open-set Scene Classification
Open-Set Scene Classification is a scene classification paradigm that belongs to the broader category of image understanding tasks, distinguished by its requirement to recognize known scene categories during inference while simultaneously identifying images from unknown or unseen scene categories as belonging to none of the known classes.
15
Publications
490
Citations
64
Authors
34
Institutions
Publications per year
2017–2026
14
Parents
15
Siyuan Wang, Dongyang Hou, Huaqiao Xing · IEEE Transactions on Geoscience and Remote Sensing · 2023 · 45 citations
1–5 of 15
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34

Nankai University
Tianjin, China
3 h-index
8 publications
229 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
4 publications
207 citations

Tampere University
Tampere, Finland
1 h-index
3 publications
216 citations

Chinese Academy of Social Sciences
Beijing, China
1 h-index
1 publications
38 citations

Hunan University
Changsha, China
1 h-index
6 publications
396 citations

The Royal Melbourne Hospital
Melbourne, Australia
1 h-index
1 publications
16 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
1 publications
38 citations
Central China Normal University
Wuhan, China
1 h-index
3 publications
60 citations
1–8 of 34
4 publications · 136 citations
4
h-index
GRSL · 1 publications · 20 citations
1
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1 publications · 66 citations
1
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1 publications · 31 citations
1
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1 publications · 30 citations
1
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1–5