csyanbin / TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
☆243Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for TPN
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆251Updated 6 years ago
- Few shot learning☆155Updated 3 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆175Updated 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
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆263Updated 6 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆319Updated 5 years ago
- IJCAI 2019 : Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph☆55Updated 5 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago
- Matching Networks for one shot learning☆230Updated 7 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
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆181Updated 5 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 4 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 5 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆256Updated 7 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
- ☆274Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆208Updated 4 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆329Updated 8 months ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆181Updated 3 months ago
- Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery☆152Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 3 months ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆553Updated 5 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆136Updated 4 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆86Updated 8 months ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆191Updated last year
- A curated list of resources about few-shot and one-shot learning☆281Updated 5 years ago
- ☆130Updated 3 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…☆51Updated 5 years ago