Context-sensitive zero-shot semantic segmentation model based on meta-learning

Author:

Wang Wenjian,Duan Lijuan,En Qing,Zhang Baochang

Funder

Beijing Municipal Commission of Education

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference68 articles.

1. Zero-shot learning with semantic output codes;Palatucci,2009

2. Learning to detect unseen object classes by between-class attribute transfer;Lampert,2009

3. B. Romera-Paredes, P. Torr, An embarrassingly simple approach to zero-shot learning, in: ICML, 2015.

4. Predicting visual exemplars of unseen classes for zero-shot learning;Changpinyo,2017

5. W. Wang, Y. Pu, V. Verma, K. Fan, Y. Zhang, C. Chen, P. Rai, L. Carin, Zero-shot learning via class-conditioned deep generative models, in: AAAI, 2018.

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