Confidence Score: The Forgotten Dimension of Object Detection Performance Evaluation

When deploying a model for object detection, a confidence score threshold is chosen to filter out false positives and ensure that a predicted bounding box has a certain minimum score. To achieve state-of-the-art performance on benchmark datasets, most neural networks use a rather low threshold as a...

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Detalles Bibliográficos
Autores principales: Wenkel, Simon, Alhazmi, Khaled, Liiv, Tanel, Alrshoud, Saud, Simon, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271464/
https://www.ncbi.nlm.nih.gov/pubmed/34202089
http://dx.doi.org/10.3390/s21134350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271464/
https://www.ncbi.nlm.nih.gov/pubmed/34202089
http://dx.doi.org/10.3390/s21134350

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