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mini-imagenet

Here are 13 public repositories matching this topic...

meta-transfer-learning

yaoyao-liu / meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

transfer-learning meta-learning few-shot-learning mini-imagenet tiered-imagenet fewshot-cifar100

Updated Dec 31, 2022
Python

yaoyao-liu / mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

dataset imagenet one-shot-learning meta-learning miniimagenet few-shot few-shot-learning mini-imagenet

Updated Oct 30, 2020
Python

yaoyao-liu / few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

miniimagenet few-shot-learning mini-imagenet tiered-imagenet fc100 few-shot-classifcation cifar-fs

Updated Nov 22, 2022
HTML

bl0 / negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

metric-learning few-shot-learning pytorch-implementation mini-imagenet

Updated Feb 20, 2021
Python

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)

deep-learning metric-learning meta-learning few-shot-learning few-shot-recognition mini-imagenet tiered-imagenet meta-dataset conditional-neural-process few-shot-classifcation

Updated Mar 25, 2023
Python

hushell / sib_meta_learn

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

meta-learning few-shot-learning empirical-bayes mini-imagenet

Updated Mar 31, 2020
Python

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)

deep-learning metric-learning meta-learning few-shot-learning few-shot-recognition mini-imagenet tiered-imagenet meta-dataset conditional-neural-process few-shot-classifcation

Updated Nov 3, 2022
Python

rahulvigneswaran / TailCalibX

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Updated Nov 21, 2022
Jupyter Notebook

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

imagenet tiny-imagenet mini-imagenet

Updated Mar 21, 2023
Python

lehduong / poodle

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

pytorch metric-learning few-shot-learning cub-200-2011 mini-imagenet tiered-imagenet few-shot-classifcation

Updated Aug 6, 2022
Python

giovcandido / prototypical-networks

Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.

machine-learning python3 omniglot few-shot-learning prototypical-networks pytorch-implementation mini-imagenet

Updated Dec 9, 2021
Python

nirmal-25 / Few-Shot-Classification-Meta

Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset

maml meta-learning matching-networks mini-imagenet few-shot-classifcation transductive-cnaps

Updated May 19, 2022
Python

pha123661 / Self-Supervised-Pretraining-for-Image-Classification

Self-supervised backbone pretraining on Mini-Imagenet

self-supervised-learning mini-imagenet office-home byol-pytorch

Updated Feb 15, 2023
Python

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