Enhanced 3D Pose Estimation in Multi-Person, Multi-View Scenarios through Unsupervised Domain Adaptation with Dropout Discriminator

Data-driven pose estimation methods often assume equal distributions between training and test data. However, in reality, this assumption does not always hold true, leading to significant performance degradation due to distribution mismatches. In this study, our objective is to enhance the cross-dom...

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Detalles Bibliográficos
Autores principales: Deng, Junli, Yao, Haoyuan, Shi, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610700/
https://www.ncbi.nlm.nih.gov/pubmed/37896498
http://dx.doi.org/10.3390/s23208406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610700/
https://www.ncbi.nlm.nih.gov/pubmed/37896498
http://dx.doi.org/10.3390/s23208406

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