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SemiContour: A Semi-supervised Learning Approach for Contour Detection
Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotated data might be unavailable or extremely labor intensive. In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competit...
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| Publicado en: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5423734/ https://ncbi.nlm.nih.gov/pubmed/28496297 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2016.34 |
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