Attention-Assisted Feature Comparison and Feature Enhancement for Class-Agnostic Counting

In this study, we address the class-agnostic counting (CAC) challenge, aiming to count instances in a query image, using just a few exemplars. Recent research has shifted towards few-shot counting (FSC), which involves counting previously unseen object classes. We present ACECount, an FSC framework...

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Detalles Bibliográficos
Autores principales: Dong, Liang, Yu, Yian, Zhang, Di, Huo, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675645/
https://www.ncbi.nlm.nih.gov/pubmed/38005514
http://dx.doi.org/10.3390/s23229126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675645/
https://www.ncbi.nlm.nih.gov/pubmed/38005514
http://dx.doi.org/10.3390/s23229126

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