johncai117 / Meta-Fine-Tuning
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
☆41Updated 2 years ago
Alternatives and similar repositories for Meta-Fine-Tuning
Users that are interested in Meta-Fine-Tuning are comparing it to the libraries listed below
Sorting:
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- ☆91Updated 3 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆341Updated 5 years ago
- ☆114Updated 4 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆83Updated 3 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆88Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆119Updated 2 years ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆228Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 4 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆190Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆168Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated last year
- Tools for generating tieredImageNet dataset and processing batches☆77Updated 4 years ago
- Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"☆33Updated 5 years ago
- ☆132Updated 4 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆143Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆97Updated last year
- ☆69Updated 5 years ago
- awesome few shot / meta learning papers☆53Updated 3 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- ☆58Updated 3 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆62Updated 3 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago