3 citations · 3 across the 3 of their papers we have counts for
5 papers
Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
Paraskevi-Antonia Theofilou, Anuhya Thota, Stefanos Kollias +1
When deep learning models are sequentially trained on new data, they tend to abruptly lose performance on previously learned tasks, a critical failure known as catastrophic forgett…
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
Athinoulla Konstantinou, Georgios Leontidis, Mamatha Thota +1
Learning self-supervised representations that are invariant and equivariant to transformations is crucial for advancing beyond traditional visual classification tasks. However, man…
LLEDA -- Lifelong Self-Supervised Domain Adaptation
Mamatha Thota, Dewei Yi, Georgios Leontidis
Humans and animals have the ability to continuously learn new information over their lifetime without losing previously acquired knowledge. However, artificial neural networks stru…
Contrastive Domain Adaptation
Mamatha Thota, Georgios Leontidis
Recently, contrastive self-supervised learning has become a key component for learning visual representations across many computer vision tasks and benchmarks. However, contrastive…
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Mamatha Thota, Stefanos Kollias, Mark Swainson +1
Retail food packaging contains information which informs choice and can be vital to consumer health, including product name, ingredients list, nutritional information, allergens, p…