few-shot-classifcation
There are 57 repositories under few-shot-classifcation topic.
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
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.
zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
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
mboudiaf/TIM
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
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)
dahyun-kang/renet
[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
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"
astra-vision/ProLIP
Fine-tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia
Jityan/sslprotonet
Code Repository for "SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning"
ZY-LIi/IEEE_TGRS_SPFormer
A slim implementation of Self-Pooling Transformer for hyperspectral image classification.
lehduong/poodle
Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)
steb6/ISBFSAR
Interactive Skeleton Based Few Shot Action Recognition
Jityan/SCLfewshot
The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
ritaranx/NeST
[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.
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.
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".
mehrdad-dev/PDS
Parkinson detection based on wave sketches and deep learning - PDS
fork123aniket/Visual-Contrastive-Learning-for-Few-shot-Image-Classification
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
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
cbn001012/Mineral-prediction-based-on-prototype-learning
Mineral Prediction based on Prototype Learning
yunqing-me/Born-Again-FS
[TIP-2023] IEEE Trans.on Image Processing
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".
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.
Kunal-Attri/Few-Shot-Classification-GUI-based-Training
GUI based tool to train and develop Few Shot Classification ML model.