#

few-shot-classifcation

Here are 50 public repositories matching this topic...

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 sp…

video-classification meta-learning few-shot-learning something-something few-shot-classifcation

Updated Mar 29, 2021
Python

franticpie / simple-cnaps

Code for "Improved Few-Shot Visual Classification"

meta-learning few-shot-learning few-shot-recognition few-shot-classifcation

Updated May 4, 2021
Python

RubenPants / few-shot-face-classification

Library to recognise and classify faces.

face-recognition face-detection few-shot-recognition few-shot-classifcation

Updated Jul 26, 2021
Python

ShuoYang-1998 / Few_Shot_Distribution_Calibration

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

few-shot-learning few-shot-classifcation

Updated Nov 19, 2021
Python

renet

dahyun-kang / renet

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

computer-vision deep-learning pytorch neural-networks few-shot-learning few-shot-classifcation iccv2021

Updated Dec 26, 2021
Python

hjk92g / DR_Formulation_ML

Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"

metric-learning confidence-score few-shot-learning few-shot-classifcation

Updated Jan 20, 2022
Python

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".

computer-vision bias-correction few-shot-learning few-shot-classifcation

Updated Apr 20, 2022
Python

sabagh1994 / code_dcf

This repository contains the firth bias reduction experiments on the few-shot distribution calibration method conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

computer-vision bias-correction few-shot-learning few-shot-classifcation firth-bias-reduction

Updated Apr 20, 2022
Python

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".

computer-vision bias-reduction few-shot-learning few-shot-classifcation

Updated Apr 20, 2022

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

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.

sketch incremental-learning few-shot-learning few-shot-classifcation sketch-applications sketch-research

Updated May 30, 2022
Python

LouieYang / MCL

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

few-shot-learning few-shot-classifcation cvpr2022

Updated Jun 11, 2022
Python

itl-ed / igre

NAACL2022 Interactive Symbol Grounding with Complex Referential Expressions

semantics logic formal-semantics weighted-model-counting few-shot-classifcation

Updated Jul 4, 2022
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

HarshvirSandhu / GUI-Based-Training

A streamlit web app that allows you to train Few Shot image classification models

pytorch prototypical-networks streamlit few-shot-classifcation

Updated Oct 1, 2022
Python

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

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

pytorch matplotlib resnet-18 prototypical-networks cnn-pytorch streamlit few-shot-classifcation

Updated Oct 8, 2022
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

steb6 / ISBFSAR

Interactive Skeleton Based Few Shot Action Recognition

python pytorch human-pose-estimation human-activity-recognition pose-estimation open-set gaze-estimation few-shot few-shot-learning open-set-recognition fewshot-learning few-shot-classifcation open-set-classification

Updated Nov 8, 2022
Python

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

python deep-neural-networks deep-learning pytorch data-augmentation meta-learning graph-classification few-shot-learning graph-neural-networks maml-algorithm few-shot-classifcation torch-geometric

Updated Nov 9, 2022
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

Improve this page

Add a description, image, and links to the few-shot-classifcation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the few-shot-classifcation topic, visit your repo's landing page and select "manage topics."