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# Few-Shot Classification Leaderboard [![LICENSE](https://img.shields.io/github/license/yaoyao-liu/few-shot-classification-leaderboard?style=flat-square&logo=creative-commons&color=EF9421)](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/blob/main/LICENSE) [\[Project Page\]](https://few-shot.yyliu.net/) The goal of this page is to keep on track of the **state-of-the-arts (SOTA)** for the few-shot classification. Welcome to report results and revise mistakes by creating [issues](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/issues) or [pull requests](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/pulls). We are trying to include all the few-shot learning papers on top-tier conferences, e.g., CVPR, NeurIPS, AAAI, and etc. However, we might miss some papers as there are so many papers published. If your paper is not included, please create a pull request to add it to the tables. We will merge the pull requests asap. Thanks a lot. *mini*ImageNet: [\[html\]](https://few-shot.yyliu.net/miniimagenet.html) [\[Markdown\]](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/blob/main/miniimagenet.md) *tiered*ImageNet: [\[html\]](https://few-shot.yyliu.net/tieredimagenet.html) [\[Markdown\]](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/blob/main/tieredimagenet.md) Fewshot-CIFAR100: [\[html\]](https://few-shot.yyliu.net/fc100.html) [\[Markdown\]](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/blob/main/fc100.md) CIFAR-FS: [\[html\]](https://few-shot.yyliu.net/cifarfs.html) [\[Markdown\]](https://github.com/yaoyao-liu/few-shot-classification-leaderboard/blob/main/cifarfs.md) ### Contact [email protected]
meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batchesminimal-light
A simple and elegant Jekyll theme for an academic personal homepagetiered-imagenet-tools
Tools for generating tieredImageNet dataset and processing batchese3bm
PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)CL-DETR
PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)social-relation-tensorflow
TensorFlow implementation of "A Domain Based Approach to Social Relation Recognition" (CVPR2017)yaoyao-liu.github.io
My homepage's source codeonline-hyperparameter-optimization
PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)URL-Redirect-zh
通过Github实现URL转发strata-academic
A simple and elegant jekyll theme for academic personal homepagePOD-AANets
Code for PODNet w/ AANetsmeta-transfer-learning-pytorch
fsl-html-source
jekyll-jemdoc
Light text markup for creating websites - the Jekyll versionminimal-light-theme-mpi-inf
A simple and elegant Jekyll theme for an MPI Informatics personal homepageURL-Redirect
URL Redirect via GitHubface-image-generation
README-Syntax
README document syntax guide,i.e. Github Flavored Markdown syntax introductionhomepage
minimal-light-project-pages
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