| peymanbateni/simple-cnaps |
89 |
|
0 |
0 |
about 3 years ago |
0 |
|
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) |
| CHENGY12/DMML |
87 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| code for ICCV19 paper "Deep Meta Metric Learning" |
| plai-group/simple-cnaps |
40 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
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) |
| nayeemrizve/invariance-equivariance |
33 |
|
0 |
0 |
about 3 years ago |
0 |
|
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) |
| johnnyasd12/awesome-few-shot-meta-learning |
27 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
|
| awesome few shot / meta learning papers |
| Bryce1010/Awesome-Few-shot |
27 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
|
| Awesome Few-shot learning |
| zhoumu53/few_shot_learning |
21 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
|
| Awesome papers in few-shot learning/one-shot learning. |
| chenhaoxing/MATANet |
19 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)". |
| khoiucd/LearningToCompare-Tensorflow |
14 |
|
0 |
0 |
about 6 years ago |
0 |
|
|
mit |
Python |
| Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning. |
| maxstrobel/HCN-PrototypeLoss-PyTorch |
10 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
mit |
Python |
| Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch) |
