BING: binarized normed gradients for objectness estimation at 300fps

Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm. We observe that generic objects with well-defined closed boundary can be discriminated by looking at the norm of gradients, wit...

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Detalles Bibliográficos
Autores principales: Cheng, M-M, Zhang, Z, Lin, W-Y, Torr, P
Formato: Conference item
Lenguaje:English
Publicado: IEEE 2014