Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting
Labeling is onerous for crowd counting as it should annotate each individual in crowd images. Recently, several methods have been proposed for semi-supervised crowd counting to reduce the labeling efforts. Given a limited labeling budget, they typically select a few crowd images and densely label al...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 7 vom: 29. Juli, Seite 9248-9255
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| 1. Verfasser: |
Liu, Yongtuo
(VerfasserIn) |
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| Weitere Verfasser: |
Ren, Sucheng,
Chai, Liangyu,
Wu, Hanjie,
Xu, Dan,
Qin, Jing,
He, Shengfeng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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