Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Yongqin Xian, C. H. L., Schiele, B., & Akata, Z. (2018). Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE.

Type

Book chapter

Intellectual base

Review or monograph

Year

2018

DOI

10.1109/tpami.2018.2857768

Link

https://doi.org/10.1109/tpami.2018.2857768

Cited by

1 citation across 1 artifact.

Domain-specific

• Zero-shot learning
  • Training learns a compatibility between observations and side information, then test examples from unseen classes are matched to their attribute vectors, text embeddings, prototypes or other semantic representations.

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