Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Simple Cnaps | 89 | a year ago | 1 | mit | Python | |||||
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission) | ||||||||||
Dmml | 87 | 5 years ago | Python | |||||||
code for ICCV19 paper "Deep Meta Metric Learning" | ||||||||||
Simple Cnaps | 40 | a year ago | mit | Python | ||||||
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022) and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (TPAMI 2022 - in submission) | ||||||||||
Invariance Equivariance | 33 | a year ago | 1 | mit | Python | |||||
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021) | ||||||||||
Awesome Few Shot Meta Learning | 27 | 3 years ago | ||||||||
awesome few shot / meta learning papers | ||||||||||
Awesome Few Shot | 27 | 4 years ago | 1 | |||||||
Awesome Few-shot learning | ||||||||||
Few_shot_learning | 21 | 5 years ago | ||||||||
Awesome papers in few-shot learning/one-shot learning. | ||||||||||
Matanet | 19 | 2 years ago | mit | Python | ||||||
This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)". | ||||||||||
Learningtocompare Tensorflow | 14 | 4 years ago | n,ull | mit | Python | |||||
Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning. | ||||||||||
Hcn Prototypeloss Pytorch | 10 | 5 years ago | mit | Python | ||||||
Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch) |