8 citations · 14 across the 10 of their papers we have counts for
4 papers · 1 filter
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato +1
Food recognition models often struggle to distinguish between seen and unseen samples, frequently misclassifying samples from unseen categories by assigning them an in-distribution…
A SAM based Tool for Semi-Automatic Food Annotation
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato +1
The advancement of artificial intelligence (AI) in food and nutrition research is hindered by a critical bottleneck: the lack of annotated food data. Despite the rise of highly eff…
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Lorenzo Brigato, Stavroula Mougiakakou
Solving image classification tasks given small training datasets remains an open challenge for modern computer vision. Aggressive data augmentation and generative models are among…
Food Recognition and Nutritional Apps
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato +2
Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet. Such apps can monitor food intake as a digita…