List your company

5-way 20-shot Classification on miniImageNet (test)

0.71035-way 20-shot AccuracyMAML
0.2312760.3556380.480.604362Apr 13, 2020

Evaluation results

MethodLinks
MAMLClustering=N/A, Training Protocol=Supervised (Upper Bound), Backbone=4-layer CNN2020.040.7103
ProtoNetsClustering=N/A, Training Protocol=Supervised (Upper Bound), Backbone=4-layer CNN2020.040.7005
ULDA-ProtoNetsClustering=N/A, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.6431
CACTUs-MAMLClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.6384
ULDA-MetaOptNetClustering=N/A, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.6358
CACTUs-ProtoNetsClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.6154
UMTRAClustering=N/A, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.6111
knn-nearest neighborsClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.5644
linear classifierClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.5619
MLP with dropoutClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.5271
Training from scratchClustering=N/A, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.5153
cluster matchingClustering=DeepCluster, Training Protocol=Unsupervised, Backbone=4-layer CNN2020.040.2497