Fragment-Based Learning of Visual Object Categories
نویسندگان
چکیده
منابع مشابه
Fragment-Based Learning of Visual Object Categories
When we perceive a visual object, we implicitly or explicitly associate it with a category we know. It is known that the visual system can use local, informative image fragments of a given object, rather than the whole object, to classify it into a familiar category. How we acquire informative fragments has remained unclear. Here, we show that human observers acquire informative fragments durin...
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When we perceive a visual object, we implicitly or explicitly associate it with an object category we know. Recent research has shown that the visual system can use local, informative image fragments of a given object, rather than the whole object, to classify it into a familiar category. We have previously reported, using human psychophysical studies, that when subjects learn new object catego...
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Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while others are consistently characterized by some highly distinctive local features (narrow categories). The work described in this paper was motivated by the need to develop representations and categorization mechanisms that...
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Incremental learning of visual categories denotes the capability of a visual perceptual system to build up an increasing repertoire of visual concepts based on a sequence of experiences. A visual category is here defined as a possibly large group of individual objects that share similar properties like shape, appearance, or color. Biological visual systems achieve this function very efficiently...
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ژورنال
عنوان ژورنال: Current Biology
سال: 2008
ISSN: 0960-9822
DOI: 10.1016/j.cub.2008.03.058