AROS: Affordance Recognition with One-Shot Human Stances

We present Affordance Recognition with One-Shot Human Stances (AROS), a one-shot learning approach that uses an explicit representation of interactions between highly articulated human poses and 3D scenes. The approach is one-shot since it does not require iterative training or retraining to add new...

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Detalles Bibliográficos
Autores principales: Pacheco-Ortega, Abel, Mayol-Cuevas, Walterio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185755/
https://www.ncbi.nlm.nih.gov/pubmed/37205224
http://dx.doi.org/10.3389/frobt.2023.1076780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185755/
https://www.ncbi.nlm.nih.gov/pubmed/37205224
http://dx.doi.org/10.3389/frobt.2023.1076780

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