dragen1860 / LearningToCompare-Pytorch
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
☆250Updated 7 years ago
Alternatives and similar repositories for LearningToCompare-Pytorch:
Users that are interested in LearningToCompare-Pytorch are comparing it to the libraries listed below
- Few shot learning☆155Updated 3 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆242Updated 5 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)☆265Updated 6 years ago
- Semantic Feature Augmentation in Few-shot Learning☆88Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Matching Networks for one shot learning☆230Updated 7 years ago
- Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning☆84Updated 4 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆255Updated 7 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 6 years ago
- Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆182Updated 5 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆196Updated last year
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆337Updated 11 months 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
- Few-Shot Image Recognition by Predicting Parameters from Activations☆110Updated 6 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
- Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning☆59Updated 6 years ago
- Learning What and Where to Transfer (ICML 2019)☆248Updated 4 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
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 2 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆137Updated 5 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
- (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation☆187Updated 5 years ago
- ☆132Updated 3 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆93Updated 2 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆50Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆557Updated 5 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'☆193Updated 5 years ago