Search Results for author: Michalis Lazarou

Found 5 papers, 3 papers with code

Tensor feature hallucination for few-shot learning

1 code implementation9 Jun 2021 Michalis Lazarou, Tania Stathaki, Yannis Avrithis

We follow a different approach and investigate how a simple and straightforward synthetic data generation method can be used effectively.

Data Augmentation Few-Shot Learning +1

Few-shot learning via tensor hallucination

no code implementations19 Apr 2021 Michalis Lazarou, Yannis Avrithis, Tania Stathaki

Few-shot classification addresses the challenge of classifying examples given only limited labeled data.

Data Augmentation Few-Shot Learning +1

Iterative label cleaning for transductive and semi-supervised few-shot learning

1 code implementation ICCV 2021 Michalis Lazarou, Tania Stathaki, Yannis Avrithis

Few-shot learning amounts to learning representations and acquiring knowledge such that novel tasks may be solved with both supervision and data being limited.

Few-Shot Learning

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