johncai117 / Meta-Fine-TuningLinks
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
☆42Updated 3 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:
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆349Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆235Updated 5 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 6 years ago
- ☆91Updated 3 years ago
- ☆116Updated 5 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Updated 5 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- ☆132Updated 4 years ago
- ☆58Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆170Updated 4 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Updated 4 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆217Updated 5 years ago
- ☆375Updated 5 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆63Updated 4 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.