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few-shot-classification

Here are 13 public repositories matching this topic...

ifsl

dahyun-kang / ifsl

[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

computer-vision deep-learning pytorch few-shot-learning pytorch-lightning few-shot-segmentation few-shot-classification cvpr2022

Updated Jan 2, 2024
Python

bcmi / F2GAN-Few-Shot-Image-Generation

Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020

image-generation data-augmentation few-shot-learning few-shot-image-generation few-shot-classification

Updated Apr 30, 2021
Python

ronaldseoh / atsc_prompts

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

lm atsc language-models yelp-reviews natural-language-inference prompts zero-shot-learning nli aspect-based-sentiment-analysis yelp-restaurants few-shot-learning few-shot-classification zero-shot-classification amazon-review-corpus semeval-2014-dataset amazon-reviews-sentiment-analysis natural-language-prompts

Updated Nov 4, 2021
Jupyter Notebook

bbbdylan / unisiam

[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner

pytorch few-shot-learning self-supervised-learning few-shot-classification eccv2022 unsupervised-few-shot-learning

Updated Mar 20, 2023
Python

oveilleux / Realistic_Transductive_Few_Shot

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

class-imbalance random-distributions dirichlet-distribution few-shot transductive-learning few-shot-learning few-shot-classification neurips-2021 alpha-divergence

Updated Nov 10, 2022
Python

nphdang / FS-BBT

Black-box Few-shot Knowledge Distillation

black-box machine-learning computer-vision deep-learning synthetic-images generative-model data-generation transfer-learning knowledge-distillation data-augmentation cvae black-box-model few-shot mixup few-shot-learning conditional-variational-autoencoder few-shot-classification

Updated Jul 19, 2022
Python

rafaelpierre / bullet

bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework

python text-classification named-entity-recognition openai sequence-classification zero-shot-learning few-shot-learning few-shot-classification zero-shot-classification token-classification llms chatgpt chatgpt-api

Updated Nov 15, 2023
Jupyter Notebook

AutoVision-cloud / SSL-ViT-lowlabel-highdata

[ICASSP-2022] Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime

pytorch metric-learning image-retrieval few-shot-learning self-supervised-learning vision-transformer few-shot-classification

Updated May 5, 2022
Python

Few-shot-satellite-image-classification-OPS-SAT

ShendoxParadox / Few-shot-satellite-image-classification-OPS-SAT

Few-shot satellite image classification for bringing deep learning on board OPS-SAT

deep-learning ensemble-learning data-augmentation satellite-image-classification color-transfer synthetic-data-generation few-shot-classification

Updated Jul 2, 2024
Python

fvilmos / shape_similarity_siamese_network

CNN based Siamese network for similarity detection. A toy database is used to demonstrate its functionality.

image-processing cnn-keras siamese-network few-shot-learning similarity-detection few-shot-classification

Updated Aug 29, 2022
Jupyter Notebook

Jityan / efficientprotonet

The code for "Efficient-PrototypicalNet with self knowledge distillation for few-shot learning"

transfer-learning knowledge-distillation few-shot-learning prototypical-networks efficientnet few-shot-classification self-knowledge-distillation

Updated Oct 8, 2024
Python

abdulvahapmutlu / vit-protonet

A lightweight PyTorch implementation of Prototypical Networks using a ViT-Small/16 backbone for few-shot classification on standard benchmarks (Mini-ImageNet, CUB-200, CIFAR-FS, FC100). Includes both production scripts for training & evaluation and Jupyter notebooks for interactive analysis.

python machine-learning computer-vision deep-learning pytorch artificial-intelligence metric-learning meta-learning few-shot-learning prototypical-networks vision-transformer few-shot-classification timm

Updated Jul 12, 2025
Jupyter Notebook

shafieiali42 / PromptAD-Robustness

Evaluation of PromptAD’s robustness under various image corruptions for few-shot anomaly detection.

robustness anomaly-detection mvtec-ad few-shot-classification zero-shot-classification prompt-tuning vision-language-model

Updated Mar 9, 2025
Jupyter Notebook

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