There are 1 repository under few-shot-recognition topic.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
Awesome Few-shot learning
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
Few-Shot Keyword Spotting
[PR22, Highly Cited Paper] Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition
Implementation of the procedural model fitting method described in our paper: Robust procedural model fitting with a new geometric similarity estimator.
C++ Iris recognition system, using CNN based feature extractors
[IEEE ICIP (2021)] Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition
SmartFew is your swiss knife for semi-supervised structuring of unlabeled data using Few Shot Learning.
Learning to learn for Personalised Human Activity Recognition
a deep dive into one-shot learning with omniglot and siamese networks
Code for "Improved Few-Shot Visual Classification"
Library to recognise and classify faces.