Object detection and localization for free from category-consistent CNN features.
نویسندگان
چکیده
منابع مشابه
Co-localization with Category-Consistent CNN Features and Geodesic Distance Co-Propagation
Co-localization is the problem of localizing categorical objects using only positive sets of example images, without any form of further supervision. This is a challenging task as there is no pixel-level annotations. Motivated by human visual learning, we find the common features of an object category from convolutional kernels of a pretrained convolutional neural network (CNN). We call these c...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2017
ISSN: 1534-7362
DOI: 10.1167/17.10.1248