Matching Networks

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClassificationonMeta-Dataset
Accuracy· 2016-06-13
56.247
best: 85.27 (SMAT (DINO-VIT-Base-16-224))
SOTA
Matching Networks for One Shot Learning arXiv:1606.04080
Image ClassificationonMeta-Dataset Rank
Mean Rank· 2016-06-13
10.5
best: 11.8 (Relation Networks)
SOTA
Matching Networks for One Shot Learning arXiv:1606.04080
Few-Shot Image ClassificationonMeta-Dataset
Accuracy· 2016-06-13
56.247
best: 85.27 (SMAT (DINO-VIT-Base-16-224))
SOTA
Matching Networks for One Shot Learning arXiv:1606.04080
Few-Shot Image ClassificationonMeta-Dataset Rank
Mean Rank· 2016-06-13
10.5
best: 11.8 (Relation Networks)
SOTA
Matching Networks for One Shot Learning arXiv:1606.04080