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Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data
During the last few years, supervised deep convolutional neural networks have become the state-of-the-art for image recognition tasks. Nevertheless, their performance is severely linked to the amount and quality of the training data. Acquiring and labeling data is a major challenge that limits their...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967933/ https://www.ncbi.nlm.nih.gov/pubmed/36850495 http://dx.doi.org/10.3390/s23041898 |