A new autoencoder model with margin-based discriminative embeddings and regressor feedback outperforms prior zero-shot learning methods on SUN, CUB, AWA1 and AWA2, with larger gains in generalized ZSL.
Biederman, ”Recognition-by-components: a theory of human image understanding.” Psycho- logical review, vol
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Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning
A new autoencoder model with margin-based discriminative embeddings and regressor feedback outperforms prior zero-shot learning methods on SUN, CUB, AWA1 and AWA2, with larger gains in generalized ZSL.