1 citations · 1 across the 3 of their papers we have counts for
3 papers
Image edge enhancement for effective image classification
Tianhao Bu, Michalis Lazarou, Tania Stathaki
Image classification has been a popular task due to its feasibility in real-world applications. Training neural networks by feeding them RGB images has demonstrated success over it…
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Michalis Lazarou, Yannis Avrithis, Guangyu Ren +1
Few-shot learning addresses the issue of classifying images using limited labeled data. Exploiting unlabeled data through the use of transductive inference methods such as label pr…
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou, Yannis Avrithis, Tania Stathaki
Transductive few-shot learning algorithms have showed substantially superior performance over their inductive counterparts by leveraging the unlabeled queries. However, the vast ma…