Generative part-based Gabor object detector
نویسندگان
چکیده
منابع مشابه
Generative part-based Gabor object detector
Discriminative part-based models have become the approach for visual object detection. The models learn from a large number of positive and negative examples with annotated class labels and location (bounding box). In contrast, we propose a part-based generative model that learns from a small number of positive examples. This is achieved by utilizing “privileged information”, sparse class-speci...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2015
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2015.08.004