GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model

Recent studies on unsupervised object detection based on spatial attention have achieved promising results. Models, such as AIR and SPAIR, output “what” and “where” latent variables that represent the attributes and locations of objects in a scene, respectively. Most of the previous studies concentr...

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Detalles Bibliográficos
Autores principales: Zhu, Weijin, Shen, Yao, Liu, Mingqian, Aguirre Sanchez, Lizeth Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313923/
https://www.ncbi.nlm.nih.gov/pubmed/35898790
http://dx.doi.org/10.1155/2022/7254462

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313923/
https://www.ncbi.nlm.nih.gov/pubmed/35898790
http://dx.doi.org/10.1155/2022/7254462

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