A Blockchain-Based Trustworthy Model Evaluation Framework for Deep Learning and Its Application in Moving Object Segmentation

Model evaluation is critical in deep learning. However, the traditional model evaluation approach is susceptible to issues of untrustworthiness, including insecure data and model sharing, insecure model training, incorrect model evaluation, centralized model evaluation, and evaluation results that c...

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Detalles Bibliográficos
Autores principales: Jiang, Rui, Li, Jiatao, Bu, Weifeng, Shen, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383623/
https://www.ncbi.nlm.nih.gov/pubmed/37514785
http://dx.doi.org/10.3390/s23146492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383623/
https://www.ncbi.nlm.nih.gov/pubmed/37514785
http://dx.doi.org/10.3390/s23146492

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