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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |