Locality-Aware Crowd Counting
Imbalanced data distribution in crowd counting datasets leads to severe under-estimation and over-estimation problems, which has been less investigated in existing works. In this paper, we tackle this challenging problem by proposing a simple but effective locality-based learning paradigm to produce...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 03. Juli, Seite 3602-3613
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| 1. Verfasser: |
Zhou, Joey Tianyi
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Le,
Du, Jiawei,
Peng, Xi,
Fang, Zhiwen,
Xiao, Zhe,
Zhu, Hongyuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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