Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies
نویسندگان
چکیده
منابع مشابه
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense that many images contain multiple objects belonging to the label vocabulary. In other words, we have a multi-label problem but the annotations include only a single label (and not necessarily the most prominent). Such ...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2012
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-012-0561-4