OpenCodePapers

few-shot-image-classification-on-meta-dataset-1

Image ClassificationFew-Shot Image Classification
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PaperCodeMean RankModelNameReleaseDate
A Universal Representation Transformer Layer for Few-Shot Image Classification✓ Link2.85URT2020-06-21
Enhancing Few-Shot Image Classification with Unlabelled Examples✓ Link3.05Transductive CNAPS2020-06-17
Improved Few-Shot Visual Classification✓ Link3.45Simple CNAPS2019-12-07
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification✓ Link4.2SUR2020-03-20
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification✓ Link4.25SUR-pnf2020-03-20
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes✓ Link5.95CNAPs2019-06-18
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples✓ Link6.65fo-Proto-MAML2019-03-07
Prototypical Networks for Few-shot Learning✓ Link8.5Prototypical Networks2017-03-15
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples✓ Link8.7Finetune2019-03-07
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks✓ Link10.25fo-MAML2017-03-09
Matching Networks for One Shot Learning✓ Link10.5Matching Networks2016-06-13
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples✓ Link10.85k-NN2019-03-07
Learning to Compare: Relation Network for Few-Shot Learning✓ Link11.8Relation Networks2017-11-16
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