Few-Shot Fine-Grained Image Classification: A Comprehensive Review

J Ren, C Li, Y An, W Zhang, C Sun - AI, 2024 - mdpi.com
Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of
images (eg, birds, flowers, and airplanes) belonging to different subclasses of the same …

[HTML][HTML] Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning

T Perrett, A Masullo, D Damen, T Burghardt… - JMIR Formative …, 2022 - formative.jmir.org
Background: Calorimetry is both expensive and obtrusive but provides the only way to
accurately measure energy expenditure in daily living activities of any specific person, as …

Feature Representation Learning for Few-Shot Fine-Grained Image Classification: A Comprehensive Review

J Ren, C Li, Y An, W Zhang, C Sun - 2023 - preprints.org
Few-shot fine-grained image classification (FSFGIC) methods refer to machine learning
methods which aim to classify images (eg, bird species, flowers, and airplanes) belonging to …