GitHub topics: mini-imagenet
peymanbateni/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 Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)
Language: Python - Size: 466 MB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 118 - Forks: 25
tiger2017/MLclf
mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks
Language: Python - Size: 184 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 6
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Language: Python - Size: 3.59 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 733 - Forks: 147
rahulvigneswaran/TailCalibX
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 38 - Forks: 4
yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
Language: Python - Size: 562 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 412 - Forks: 56
hushell/sib_meta_learn
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Language: Python - Size: 53.7 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 58 - Forks: 8
bl0/negative-margin.few-shot
PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
Language: Python - Size: 500 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 138 - Forks: 17
yaoyao-liu/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Language: HTML - Size: 2.89 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 348 - Forks: 74
johnjaejunlee95/Model-Agnostic-Meta-Learning-pytorch_implementation
Unofficial implementation code for Model-Agnostic Meta-Learning (MAML) in Pytorch with learn2learn library
Language: Python - Size: 73.2 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
giovcandido/prototypical-networks
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Language: Python - Size: 1.71 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 2
lehduong/poodle
Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)
Language: Python - Size: 854 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 0
plai-group/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 Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
Language: Python - Size: 467 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 15
pha123661/Self-Supervised-Pretraining-for-Image-Classification
Self-supervised backbone pretraining on Mini-Imagenet
Language: Python - Size: 1.56 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
nirmal-25/Few-Shot-Classification-Meta
Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset
Language: Python - Size: 2.64 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
