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Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection
In the image object detection task, a huge number of candidate boxes are generated to match with a relatively very small amount of ground-truth boxes, and through this method the learning samples can be created. But in fact the vast majority of the candidate boxes do not contain valid object instanc...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210007/ https://www.ncbi.nlm.nih.gov/pubmed/30314385 http://dx.doi.org/10.3390/s18103415 |