few-shot-classifcation

ShuoYang-1998/Few_Shot_Distribution_Calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

yaoyao-liu/few-shot-classification-leaderboard

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

davidberenstein1957/concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

davidberenstein1957/classy-classification

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

BeierZhu/Prompt-align

[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning

zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs

A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.

mboudiaf/TIM

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

dahyun-kang/renet

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

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)

mboudiaf/pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Frankluox/Channel_Importance_FSL

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

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)

LouieYang/MCL

Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)

IRVLUTD/Proto-CLIP

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning

crisostomi/metric-few-shot-graph

Few-Shot Graph Classification via distance metric learning.

Suhyun777/CVPR23-GAP

Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"

TejasAnvekar/GPr-Net

lehduong/poodle

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

Jityan/sslprotonet

Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"

steb6/ISBFSAR

Interactive Skeleton Based Few Shot Action Recognition

ritaranx/NeST

[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.

ZY-LIi/IEEE_TGRS_SPFormer

A slim implementation of Self-Pooling Transformer for hyperspectral image classification.

ehsansaleh/firth_bias_reduction

This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

AyanKumarBhunia/DIY-FSCIL

[CVPR-2022] ''Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches'', IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

fork123aniket/Visual-Contrastive-Learning-for-Few-shot-Image-Classification

Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

mehrdad-dev/PDS

Parkinson detection based on wave sketches and deep learning - PDS

Jityan/SCLfewshot

The code for "SCL: Self-supervised contrastive learning for few-shot image classification"

ozgurkara99/video-dataset-preprocessing-meta-learning

Something-something-v2 video dataset is splitted into 3 meta-sets, namely, meta-training, meta-validation, meta-test. Overall, dataset includes 100 classes that are divided according to CMU [1] The code also provides a dataloader in order to create episodes considering given n-way k-shot learning task. Videos are converted to the frames under sparse-sampling protocol described in TSN [2]

lmriccardo/few-shot-graph-classification

Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

ehsansaleh/code_firth

This repository contains the main ResNet backbone experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

Kunal-Attri/Few-Shot-Classification-GUI-based-Training

GUI based tool to train and develop Few Shot Classification ML model.

yunqing-me/Born-Again-FS

[TIP-2023] IEEE Trans.on Image Processing

ElmiraGhorbani/dynamic_prompting

Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.

mouniraziz/AGLRs

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

Chenguoz/SRE

Code Release of Exploring Sample Relationship for Few-Shot Classification