Learning multi-subset of classes for fine-grained food recognition
J Ródenas, B Nagarajan, M Bolaños… - Proceedings of the 7th …, 2022 - dl.acm.org
Food image recognition is a complex computer vision task, because of the large number of
fine-grained food classes. Fine-grained recognition tasks focus on learning subtle …
fine-grained food classes. Fine-grained recognition tasks focus on learning subtle …
All4one: Symbiotic neighbour contrastive learning via self-attention and redundancy reduction
Nearest neighbour based methods have proved to be one of the most successful self-
supervised learning (SSL) approaches due to their high generalization capabilities …
supervised learning (SSL) approaches due to their high generalization capabilities …
Analysis and improvement proposal on self-supervised deep learning
I González Estepa - 2023 - upcommons.upc.edu
Self-supervised learning is an emerging deep learning paradigm that aims at removing the
label-dependency problems suffered by most supervised learning algorithms. Instance …
label-dependency problems suffered by most supervised learning algorithms. Instance …