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Generalized Zero-Shot Learning - Unseen

1 papers with code · Computer Vision

The average of the normalized top-1 prediction scores of unseen classes in the generalized zero-shot learning setting, where the label of a test sample is predicted among all (seen + unseen) classes.

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Greatest papers with code

Gradient Matching Generative Networks for Zero-Shot Learning

CVPR 2019 mbsariyildiz/gmn-zsl

In contrast, we propose a generative model that can naturally learn from unsupervised examples, and synthesize training examples for unseen classes purely based on their class embeddings, and therefore, reduce the zero-shot learning problem into a supervised classification task.

DOMAIN ADAPTATION GENERALIZED ZERO-SHOT LEARNING - UNSEEN ZERO-SHOT LEARNING