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5-way Classification on EuroSat (K-shot evaluation)

95.34Average AccuracyUniSiam
59.917669.113878.3187.5062Jul 19, 2022Jul 24, 2022Jul 30, 2022Aug 5, 2022Aug 11, 2022Aug 17, 2022Aug 23, 2022

Evaluation results

MethodLinks
UniSiamShots=502022.0795.34———
SWAVShots=502022.0793.36———
UniSiamShots=202022.0793.24———
DeepCluster-v2Shots=502022.0793.07———
SimCLR-v2Shots=502022.0792.07———
DeepCluster-v2Shots=202022.0792.02———
SWAVShots=202022.0791.99———
SimCLR-v2Shots=202022.0791.05———
SimCLR-v1Shots=502022.0790.55———
BYOLShots=502022.0790.46———
MoCo-v2Shots=502022.0789.83———
BYOLShots=202022.0789.62———
SupervisedShots=502022.0789.62———
SimCLR-v1Shots=202022.0789.38———
PCL-v2Shots=502022.0789.23———
MoCo-v2Shots=202022.0788.92———
PIRLShots=502022.0788.55———
SeLa-v2Shots=502022.0788.51———
DeepCluster-v2Shots=52022.0788.39———
SupervisedShots=202022.0788.36———
SeLa-v2Shots=202022.0788.34———
MoCo-v1Shots=502022.0787.94———
PCL-v2Shots=202022.0787.94———
InsDisShots=502022.0787.72———
InfoMinShots=502022.0787.61———
SWAVShots=52022.0787.29———
PIRLShots=202022.0787.06———
InfoMinShots=202022.0786.76———
InsDisShots=202022.0786.55———
UniSiamShots=52022.0786.53———
MoCo-v1Shots=202022.0786.52———
SimCLR-v2Shots=52022.0786.45———
GNN w/ AFA (Ours)Shot=5-shot2022.0885.58———
SeLa-v2Shots=52022.0784.56———
MoCo-v2Shots=52022.0784.15———
SupervisedShots=52022.0783.81———
BYOLShots=52022.0783.64———
SimCLR-v1Shots=52022.0782.78———
PIRLShots=52022.0782.14———
InfoMinShots=52022.0781.68———
InsDisShots=52022.0781.32———
MoCo-v1Shots=52022.0781.29———
PCL-v2Shots=52022.0781.1———
TPN w/ AFA (Ours)Shot=5-shot2022.0880.12———
PCL-v1Shots=502022.0776.41———
PCL-v1Shots=202022.0775.19———
MN w/ AFA (Ours)Shot=5-shot2022.0869.63———
PCL-v1Shots=52022.0766.56———
TPN w/ AFA (Ours)Shot=1-shot2022.0866.17———
GNN w/ AFA (Ours)Shot=1-shot2022.0863.12———
MN w/ AFA (Ours)Shot=1-shot2022.0861.28———
Pre+LinearUnSup=false, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—79.0887.6491.34
Pre+Mean-CentroidUnSup=false, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—82.2187.6288.24
ProtoNetUnSup=false, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—73.2982.2780.48
ProtoTransferUnSup=true, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—75.6286.890.46
UMTRA-ProtoNetUnSup=true, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—74.9180.4282.24
UMTRA-ProtoTuneUnSup=true, Backbone=ResNet-10, Training Dataset=mini-ImageNet2020.06—68.1181.5685.05