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...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8435 https://ink.library.smu.edu.sg/context/sis_research/article/9438/viewcontent/Reducing_Spatial_Labeling_Redundancy_for_Active_Semi_Supervised_Crowd_Counting__1_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |