Alternatives and similar repositories for BF3S

Users that are interested in BF3S are comparing it to the libraries listed below

• hytseng0509 / CrossDomainFewShot
  Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
  ☆346Updated 5 years ago
• mileyan / simple_shot
  ☆131Updated 4 years ago
• nupurkmr9 / S2M2_fewshot
  ☆115Updated 4 years ago
• ServiceNow / am3
  Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
  ☆65Updated 3 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆152Updated 4 years ago
• chrysts / dsn_fewshot
  ☆90Updated 3 years ago
• IBM / cdfsl-benchmark
  (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
  ☆231Updated 4 years ago
• csyanbin / TPN-pytorch
  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆177Updated 4 years ago
• WenbinLee / DN4
  Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
  ☆200Updated 2 years ago
• Clarifai / few-shot-ctm
  Few shot learning
  ☆155Updated 4 years ago
• Yikai-Wang / ICI-FSL
  This repository contains the code for Instance Credibility Inference (ICI).
  ☆85Updated 4 years ago
• blue-blue272 / fewshot-CAN
  Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).
  ☆214Updated 5 years ago
• WangYueFt / rfs
  ☆373Updated 4 years ago
• megvii-research / DPGN
  [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.
  ☆179Updated last year
• xinzheli1217 / learning-to-self-train
  Learning to Self-Train for Semi-Supervised Few-Shot
  ☆94Updated 2 years ago
• gidariss / wDAE_GNN_FewShot
  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
  ☆157Updated 6 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆89Updated last year
• ServiceNow / TADAM
  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …
  ☆106Updated 3 years ago
• Sha-Lab / FEAT
  The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
  ☆429Updated 5 years ago
• HongguangZhang / SalNet-cvpr19-master
  Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"
  ☆33Updated 5 years ago
• cuishuhao / GVB
  Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
  ☆80Updated 2 years ago
• peymanbateni / simple-cnaps
  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…
  ☆120Updated 2 years ago
• johncai117 / Meta-Fine-Tuning
  [CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
  ☆42Updated 2 years ago
• mboudiaf / TIM
  (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
  ☆122Updated 2 years ago
• yue-zhongqi / ifsl
  [NeurIPS 2020] Released code for Interventional Few-Shot Learning
  ☆169Updated 4 years ago
• dingmyu / DAPN
  A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
  ☆147Updated 5 years ago
• WonderSeven / ULDA
  The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
  ☆26Updated 3 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆99Updated 2 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆78Updated 4 years ago
• VisionLearningGroup / DAL
  Domain agnostic learning with disentangled representations
  ☆147Updated 5 years ago