Tensor feature hallucination for few-shot learning

1 code implementation • 9 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 implementations • 19 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

A novel shape matching descriptor for real-time hand gesture recognition

no code implementations • 11 Jan 2021 • Michalis Lazarou, Bo Li, Tania Stathaki

In this work we present a novel shape matching methodology for real-time hand gesture recognition.

Hand Gesture Recognition Hand-Gesture Recognition

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

GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability

1 code implementation • 14 Nov 2020 • Daniel Lengyel, Janith Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings

We propose an efficient algorithm to visualise symmetries in neural networks.