computer-vision-13
Generalized Zero-Shot Learning
3260 papers • 126 benchmarks • 313 datasets
In generalized zero shot learning (GZSL), the set of classes are split into seen and unseen classes, where training relies on the semantic features of the seen and unseen classes and the visual representations of only the seen classes, while testing uses the visual representations of the seen and unseen classes.
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AwA2
AwA2
CUB-200-2011
CUB-200-2011
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