mini-imagenet topic
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
negative-margin.few-shot
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
simple-cnaps
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...
sib_meta_learn
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
TailCalibX
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
simple-cnaps
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...
poodle
Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)
MLclf
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks