There are 9 repositories under few-shot topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A PyTorch Library for Meta-learning Research
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
collection of diffusion model papers categorized by their subareas
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
A unified multi-task time series model.
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Tools for generating mini-ImageNet dataset and processing batches
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
A transfer learning fault diagnosis repository covering popular algorithms
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
A PyTorch implementation of OpenAI's REPTILE algorithm
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
A few shot learning repository for bearing fault diagnosis.
Tools for generating tieredImageNet dataset and processing batches
Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
[NeurIPS 2024] Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
Modality-Transferable-MER, multimodal emotion recognition model with zero-shot and few-shot abilities.
A new comprehensive and diverse few-shot acoustic classification benchmark.