Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong cr...
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting
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Publisher
Hangzhou: Zhejiang University Press
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Language
English
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Publisher
Hangzhou: Zhejiang University Press
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Contents
Crowd counting has important applications in public safety and pandemic control. A robust and practical crowd counting system has to be capable of continuously learning with the newly incoming domain data in real-world scenarios instead of fitting one domain only. Off-the-shelf methods have some drawbacks when handling multiple domains: (1) the mod...
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Full title
Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting
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TN_cdi_proquest_journals_2918726290
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918726290
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ISSN
2095-9184
E-ISSN
2095-9230
DOI
10.1631/FITEE.2200380
