62 citations · 180 across the 16 of their papers we have counts for
5 papers · 1 filter
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal, Massimiliano Patacchiola, Malik Boudiaf +1
In Few-Shot Learning (FSL), models are trained to recognise unseen objects from a query set, given a few labelled examples from a support set. In standard FSL, models are evaluated…
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya +3
Recent years have seen a growth in user-centric applications that require effective knowledge transfer across tasks in the low-data regime. An example is personalization, where a p…
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal +1
Both few-shot and continual learning have seen substantial progress in the last years due to the introduction of proper benchmarks. That being said, the field has still to frame a…
Y-Autoencoders: disentangling latent representations via sequential-encoding
Massimiliano Patacchiola, Patrick Fox-Roberts, Edward Rosten
In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Auto…
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez +2
Group emotion recognition in the wild is a challenging problem, due to the unstructured environments in which everyday life pictures are taken. Some of the obstacles for an effecti…