Attribute learning in largescale datasets Olga Russakovsky and Li FeiFei Stanford University olgafeifeilics
stanfordedu Abstract We consider the task of learning visual connections between object categories using the ImageNet dataset which is a lar gescale dataset ontology containing more than 15 thousand object cl asses We want to discover visual relation
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