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Image Classification on miniImageNet (test)

89.8AccuracySimple CNAPS
23.55240.75157.9575.149May 13, 2019Dec 28, 2019Aug 14, 2020Apr 1, 2021Nov 17, 2021Jul 5, 2022Feb 20, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Simple CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.1289.8
CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.1287.31
EAauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1286.28
NCCauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1285.93
Simple CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.1282.16
EAauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1280.58
RMauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1278.67
CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.1277.99
LEOShot=5-shot, Way=5-way2019.1277.59
EAauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1277.24
EAauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1276.88
TADAMShot=5-shot, Way=5-way2019.1276.7
NCCauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1276.7
NCCauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1275.93
NCCauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1275.82
RMauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1274.42
Gidaris et al.Shot=5-shot, Way=5-way2019.1273
EAauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1272.42
RMauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1272.39
NCCauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1269.93
TPNShot=5-shot, Way=5-way2019.1269.86
RMauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1267.48
RMauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1266.67
ProtoNetShot=5-shot, Way=5-way2019.1265.77
LEOShot=1-shot, Way=5-way2019.1261.76
EAauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1261.69
TADAMShot=1-shot, Way=5-way2019.1258.5
RMauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1258.42
NCCauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1256.7
Gidaris et al.Shot=1-shot, Way=5-way2019.1256.2
TPNShot=1-shot, Way=5-way2019.1255.51
MR-MAML (W)Way=5, Shot=52019.1253.8
Nearest-neighborWay=5, Shot=52019.1251
MetaSGDProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0550.47
Relation NetProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0550.44
HSMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0550.38
GNNProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0550.33
PLATIPUSProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0550.13
BMAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers, Test Classes=202019.0550.01
ReptileProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0549.97
MUMOMAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0549.86
mAP-DLMProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0549.82
Fine-tuningWay=5, Shot=52019.1249.8
MT-NetProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers, T-block=Removed2019.0549.75
LLAMAProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0549.4
MAMLProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0548.7
Prototypical NetworkProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0546.61
ProtoNetShot=1-shot, Way=5-way2019.1246.14
SNAILProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0545.1
Causal Meta VAEways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.0244.27
TAMLWay=5, Shot=52019.1244.2
MR-MAML (W)Way=5, Shot=12019.1243.6
Matching NetsProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0543.56
meta-learner LSTMProtocol=5-way, Few-shot=1-shot, Backbone=4 standard convolutional layers2019.0543.44
DRCways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.0243.14
STMTways=5-way, shots=1-shot, learning_type=unsupervised meta-learning2023.0241.97
MAMLWay=5, Shot=52019.1241.6
Nearest-neighborWay=5, Shot=12019.1241.1
Fine-tuningWay=5, Shot=12019.1228.9
MAMLWay=5, Shot=12019.1226.3
TAMLWay=5, Shot=12019.1226.1