List your company
ResearchFormerly WizWand

Image Classification on tieredImageNet (test)

89.56AccuracyEPNetSSL
-3.07716820.97286645.022969.072934Dec 7, 2019Feb 7, 2020Apr 9, 2020Jun 10, 2020Aug 11, 2020Oct 12, 2020Dec 13, 2020
Updated 8mo ago

Evaluation results

MethodLinks
EPNetSSLBackbone=WRN-28-10, Number of shots=10-shot2020.0389.56——
EPNetBackbone=WRN-28-10, Number of shots=10-shot2020.0389.46——
EPNetSSLBackbone=RESNET-12, Number of shots=10-shot2020.0389.24——
EPNetBackbone=RESNET-12, Number of shots=10-shot2020.0388.39——
NCCauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1287.83——
EAauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1287.53——
EAauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1282.9——
NCCauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1282.38——
NCCauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1282.21——
EAauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1281.94——
NCCauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1280.66——
EAauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1280.54——
RMauxiliary_strategy=Masked PS, shot=5-shot, pruning_level=02020.1278.7——
RMauxiliary_strategy=Baseline, shot=5-shot, pruning_level=02020.1278.65——
NCCauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1276.09——
EAauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1275.52——
RMauxiliary_strategy=Basic PS, shot=5-shot, pruning_level=02020.1272.62——
EAauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1267.92——
RMauxiliary_strategy=Masked PS, shot=1-shot, pruning_level=02020.1267.51——
NCCauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1264.46——
RMauxiliary_strategy=Basic PS, shot=1-shot, pruning_level=02020.1264.39——
RMauxiliary_strategy=Baseline, shot=1-shot, pruning_level=02020.1262.58——
Simple CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.120.8901——
CNAPSShot=5-shot, Way=5-way, Backbone=ResNet-182019.120.8657——
LEOShot=5-shot, Way=5-way2019.120.8144——
Simple CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.120.7829——
CNAPSShot=1-shot, Way=5-way, Backbone=ResNet-182019.120.7512——
TPNShot=5-shot, Way=5-way2019.120.733——
ProtoNetShot=5-shot, Way=5-way2019.120.6957——
LEOShot=1-shot, Way=5-way2019.120.6633——
TPNShot=1-shot, Way=5-way2019.120.5991——
ProtoNetShot=1-shot, Way=5-way2019.120.4858——
HyperTransformerBackbone channels=64, Number of ways=52022.01—56.373.9
HyperTransformer-32Backbone channels=32, Number of ways=52022.01—5470.2
MAML-32Backbone channels=32, Number of ways=52022.01—51.770.3
MELRBackbone channels=64, Number of ways=52022.01—56.473.2
PNBackbone channels=64, Number of ways=52022.01—53.372.7
RNBackbone channels=64, Number of ways=52022.01—54.571.3