A new transductive zero-shot learning framework uses predicted semantic labels as pseudo-conditions to reduce the accuracy drop caused by biased unseen-class priors, achieving small gains over prior methods.
Transzero++: Cross attribute-guided transformer for zero-shot learning
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Improved Feature Generating Framework for Transductive Zero-shot Learning
A new transductive zero-shot learning framework uses predicted semantic labels as pseudo-conditions to reduce the accuracy drop caused by biased unseen-class priors, achieving small gains over prior methods.