Covariance-based metric model for cross-domain few-shot classification and learning-to-generalization

Author:

Khanday Nadeem Yousuf,Sofi Shabir Ahmad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference74 articles.

1. Turing AM, Haugeland J (1950) Computing machinery and intelligence. Verbal Behavior as the Hallmark of Intelligence, The Turing Test, pp 29–56

2. Khanday NY, Sofi SA (2021) Taxonomy, state-of-the-art, challenges and applications of visual understanding: a review. Computer Science Review 40:100374

3. He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 770–778

4. Vinyals O, Blundell C, Lillicrap T, Wierstra D et al (2016) Matching networks for one shot learning. Advances in neural information processing systems 29

5. Snell J, Swersky K, Zemel R (2017) Prototypical networks for few-shot learning. Advances in neural information processing systems 30

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