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Few-shot-learning-pytorch

https://github.com/cyvius96/few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning.

https://github.com/YoungXIAO13/FewShotDetection

PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild", ECCV2020

https://github.com/gidariss/wDAE_GNN_FewShot

Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning, CVPR2019 oral

https://github.com/fanq15/FSOD-code

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector, CVPR2020

https://github.com/tristandeleu/pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

https://github.com/jiaxi-wu/MPSR

Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV 2020

https://github.com/floodsung/LearningToCompare_FSL

Learning to Compare: Relation Network for Few-Shot Learning, CVPR018

https://github.com/WangYueFt/rfs/

Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need, CVPR2020

https://github.com/icoz69/DeepEMD

DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers" (CVPR 2020 oral)

https://github.com/bingykang/Fewshot_Detection

Few-shot Object Detection via Feature Reweighting

https://github.com/Sha-Lab/FEAT

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

https://github.com/wyharveychen/CloserLookFewShot

A Closer Look at Few-shot Classification

https://github.com/gidariss/FewShotWithoutForgetting

Dynamic Few-Shot Visual Learning without Forgetting

https://github.com/ShuoYang-1998/Few_Shot_Distribution_Calibration

Free Lunch for Few-Shot Learning: Distribution Calibration

https://github.com/WenbinLee/DN4

Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

https://github.com/hytseng0509/CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

https://github.com/liulu112601/URT

Universal Representation Transformer Layer for Few-Shot Image Classification

https://github.com/bl0/negative-margin.few-shot

Negative Margin Matters: UnderstandingMargin in Few-shot Classification

https://github.com/tiangeluo/fsl-global

Few-Shot Learning with Global Class Representations

https://github.com/iCVTEAM/S3Net

Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition

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