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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 03. Juli, Seite 3602-3613
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| Auteur principal: |
Zhou, Joey Tianyi
(Auteur) |
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| Autres auteurs: |
Zhang, Le,
Du, Jiawei,
Peng, Xi,
Fang, Zhiwen,
Xiao, Zhe,
Zhu, Hongyuan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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