Name: | Relation Network |
---|---|
Embed.: | Conv64F |
Type: | Metric |
Venue: | CVPR'18 |
Codes: | LearningToCompare_FSL |
- We use ResNet-18 with
last_stride = 1
for experiments of Table.2.
Cite this work with:
@inproceedings{DBLP:conf/cvpr/SungYZXTH18,
author = {Flood Sung and
Yongxin Yang and
Li Zhang and
Tao Xiang and
Philip H. S. Torr and
Timothy M. Hospedales},
title = {Learning to Compare: Relation Network for Few-Shot Learning},
booktitle = {2018 {IEEE} Conference on Computer Vision and Pattern Recognition,
{CVPR} 2018, Salt Lake City, UT, USA, June 18-22, 2018},
pages = {1199--1208},
year = {2018},
url = {http://openaccess.thecvf.com/content_cvpr_2018/html/Sung_Learning_to_Compare_CVPR_2018_paper.html},
doi = {10.1109/CVPR.2018.00131}
}
Classification
Embedding | 📖 miniImageNet (5,1) | 💻 miniImageNet (5,1) | 📖miniImageNet (5,5) | 💻 miniImageNet (5,5) | 📝 Comments | |
---|---|---|---|---|---|---|
1 | Conv64F | - | 51.52 ± 0.37 ⬇️ 📋 | - | 66.49 ± 0.29 ⬇️ 📋 | Table.2 |
2 | ResNet12 | - | 55.22 ± 0.39 ⬇️ 📋 | - | 69.25 ± 0.31 ⬇️ 📋 | Table.2 |
3 | ResNet18 | - | 53.98 ± 0.37 ⬇️ 📋 | - | 71.27 ± 0.31 ⬇️ 📋 | Table.2 |
Embedding | 📖 tieredImageNet (5,1) | 💻 tieredImageNet (5,1) | 📖tieredImageNet (5,5) | 💻 tieredImageNet (5,5) | 📝 Comments | |
---|---|---|---|---|---|---|
1 | Conv64F | - | 54.37 ± 0.44 ⬇️ 📋 | - | 71.93 ± 0.35 ⬇️ 📋 | Table.2 |