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5-way Image Classification on MiniImagenet

65.1One-shot AccuracyFEAT
31.892840.513949.13557.7561Jul 27, 2019Oct 17, 2019Jan 7, 2020Mar 29, 2020Jun 19, 2020Sep 9, 2020Nov 30, 2020
Updated 8mo ago

Evaluation results

MethodLinks
FEATNetwork=WRN2019.1165.1—81.11——
SimpleShot (CL2N)Network=DenseNet2019.1164.29—81.5——
METAOPTNETArchitecture=Non-standard CNN2019.0764.09—80——
MatchingNetNetwork=WRN2019.1164.03—76.32——
SimpleShot (CL2N)Network=WRN2019.1163.5—80.33——
SimpleShot (CL2N)Network=ResNet-182019.1162.85—80.02——
ProtoNetNetwork=WRN2019.1162.6—79.97——
VAMPIREArchitecture=Non-standard CNN2019.0762.16—76.72——
LEONetwork=WRN2019.1161.76—77.59——
LEOArchitecture=Non-standard CNN2019.0761.76—77.59——
SimpleShot (L2N)Network=DenseNet2019.1161.49—81.48——
SimpleShot (CL2N)Network=MobileNet2019.1161.3—78.37——
SimpleShot (L2N)Network=WRN2019.1161.22—81——
SimpleShot (CL2N)Network=ResNet-102019.1160.85—78.4——
SimpleShot (L2N)Network=ResNet-182019.1160.16—79.94——
Qiao et al.Network=WRN2019.1159.6—73.74——
SimpleShot (L2N)Network=MobileNet2019.1159.43—78——
CAMLNetwork=ResNet-122019.1159.23—72.35——
TADAMNetwork=ResNet-152019.1158.5—76.7——
TADAMArchitecture=Non-standard CNN2019.0758.5—76.7——
HMSBackbone=ResNet, Trials=10,0002020.1158.2—75.7782.6984.41
SimpleShot (L2N)Network=ResNet-102019.1157.85—78.73——
SimpleShot (UN)Network=DenseNet2019.1157.81—80.43——
SimCLRBackbone=ResNet, Trials=10,0002020.1157.73—72.8478.4579.75
MoCHiBackbone=ResNet, Trials=10,0002020.1157.64—75.5382.9184.76
SimpleShot (UN)Network=WRN2019.1157.26—78.99——
CACTUSBackbone=ResNet, Trials=10,000, SES+SNS=true2020.1157.25—71.4976.2777.59
TSP-HeadBackbone=ResNet, Trials=10,0002020.1156.99—75.8983.7785.72
adaCNNNetwork=ResNet-152019.1156.88—71.94——
ADARESNETArchitecture=Non-standard CNN2019.0756.88—71.94——
BaselineBackbone=ResNet, Trials=10,0002020.1156.74—74.0581.2483.04
Bauer et al.Network=ResNet-342019.1156.3—73.9——
SimpleShot (UN)Network=ResNet-182019.1156.06—78.63——
SNAILNetwork=ResNet-152019.1155.71—68.88——
SNAILArchitecture=Non-standard CNN2019.0755.71—68.88——
SimpleShot (UN)Network=MobileNet2019.1155.7—77.46——
CACTUSBackbone=ResNet, Trials=10,0002020.1155.62—69.574.6775.68
Gidaris et al.Network=ResNet-152019.1155.45—70.13——
FEATNetwork=Conv-42019.1155.15—71.61——
CUMCABackbone=ResNet, Trials=10,000, SES+SNS=true2020.1154.95—71.8579.0680.98
MoCo-v2Backbone=ResNet, Trials=10,0002020.1154.92—71.1877.6479.3
Qiao et al.Network=Conv-42019.1154.53—67.87——
SimpleShot (UN)Network=ResNet-102019.1154.45—76.98——
ProtoNetNetwork=ResNet-182019.1154.16—73.68——
VERSAArchitecture=Non-standard CNN2019.0753.4—67.37——
MatchingNetNetwork=ResNet-182019.1152.91—68.88——
RelationNetNetwork=ResNet-182019.1152.48—69.83——
Chen et al.Network=ResNet-182019.1151.87—75.68——
MTNetNetwork=Conv-42019.1151.7————
CUMCABackbone=ResNet, Trials=10,0002020.1151.66—67.1575.576.71
Meta SGDNetwork=Conv-42019.1150.47—64.03——
RelationNetNetwork=Conv-42019.1150.44—65.32——
RELATION NETSArchitecture=Non-standard CNN2019.0750.44—65.32——
GNNNetwork=Conv-42019.1150.33—66.41——
mAP-SSVMNetwork=Conv-42019.1150.32—63.94——
PLATIPUSNetwork=Conv-42019.1150.13————
ReptileNetwork=Conv-42019.1149.97—65.99——
SimpleShot (CL2N)Network=Conv-42019.1149.69—66.92——
MAMLNetwork=ResNet-182019.1149.61—65.72——
ProtoNetNetwork=Conv-42019.1149.42—68.2——
LLAMANetwork=Conv-42019.1149.4————
MAMLNetwork=Conv-42019.1148.7—63.11——
VanillaBackbone=ResNet, Trials=10,0002020.1148.52—65.7773.9876.2
SimpleShot (L2N)Network=Conv-42019.1148.08—66.49——
MatchingNetNetwork=Conv-42019.1143.56—55.31——
Meta LSTMNetwork=Conv-42019.1143.44—60.6——
SimpleShot (UN)Network=Conv-42019.1133.17—63.25——
ABMLShot=1-shot, Network Architecture=standard 4-block CNN2020.03—45———
adaResNetShot=1-shot, Network Architecture=non-standard network2020.03—56.88———
adaResNetShot=5-shot, Network Architecture=non-standard network2020.03—71.94———
LEOShot=1-shot, Network Architecture=non-standard network2020.03—61.76———
LEOShot=5-shot, Network Architecture=non-standard network2020.03—77.59———
LGM-NetShot=1-shot, Network Architecture=non-standard network2020.03—69.13———
LGM-NetShot=5-shot, Network Architecture=non-standard network2020.03—71.18———
LLAMAShot=1-shot, Network Architecture=standard 4-block CNN2020.03—49.4———
MAMLShots=1-shot2017.07—48.7———
MAMLShots=5-shot2017.07—63.11———
MAMLShot=1-shot, Network Architecture=standard 4-block CNN2020.03—48.7———
MAMLShot=5-shot, Network Architecture=standard 4-block CNN2020.03—63.15———
Matching netsShot=1-shot, Network Architecture=standard 4-block CNN2020.03—43.56———
Matching netsShot=5-shot, Network Architecture=standard 4-block CNN2020.03—55.31———
Matching NetsShots=1-shot2017.07—43.56———
Matching NetsShots=5-shot2017.07—55.31———
Meta-learner LSTMShot=1-shot, Network Architecture=standard 4-block CNN2020.03—43.44———
Meta-learner LSTMShot=5-shot, Network Architecture=standard 4-block CNN2020.03—60.6———
Meta-LSTMShots=1-shot2017.07—43.44———
Meta-LSTMShots=5-shot2017.07—60.6———
Meta-SGDShots=1-shot2017.07—50.47———
Meta-SGDShots=5-shot2017.07—64.03———
PLATIPUSShot=1-shot, Network Architecture=standard 4-block CNN2020.03—50.13———
Prototypical netsShot=1-shot, Network Architecture=standard 4-block CNN, Training Way=30-way2020.03—49.42———
Prototypical netsShot=5-shot, Network Architecture=standard 4-block CNN, Training Way=30-way2020.03—68.2———
Relation netsShot=1-shot, Network Architecture=non-standard network2020.03—50.44———
Relation netsShot=5-shot, Network Architecture=non-standard network2020.03—65.32———
SImPaShot=1-shot, Network Architecture=standard 4-block CNN2020.03—51.72———
SImPaShot=5-shot, Network Architecture=standard 4-block CNN2020.03—63.49———
SImPaShot=1-shot, Network Architecture=non-standard network, Input Features=extracted features [15]2020.03—62.85———
SImPaShot=5-shot, Network Architecture=non-standard network, Input Features=extracted features [15]2020.03—77.65———
SNAILShot=1-shot, Network Architecture=non-standard network2020.03—55.71———
SNAILShot=5-shot, Network Architecture=non-standard network2020.03—68.88———