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ResearchFormerly WizWand

Few-shot Image Classification on tieredImageNet

0.9496AccuracyOurs-Raw
0.7172640.7775820.83790.898218Dec 10, 2018Mar 5, 2020May 31, 2021Aug 26, 2022Nov 21, 2023Feb 15, 2025May 13, 2026
Updated 5mo ago

Evaluation results

MethodLinks
Ours-RawBackbone=DINOv2-L, Way=5, Shot=52026.050.9496————
Ours-ICABackbone=DINOv2-L, Components=512, Way=5, Shot=52026.050.9468————
Ours-PCABackbone=DINOv2-L, Components=512, Way=5, Shot=52026.050.945————
Ours-ICABackbone=DINOv2-L, Components=256, Way=5, Shot=52026.050.9439————
Ours-PCABackbone=DINOv2-L, Components=256, Way=5, Shot=52026.050.9309————
Ours-ICABackbone=DINOv2-L, Components=128, Way=5, Shot=52026.050.9293————
SYNTRANSBackbone=ViT-S, Way=5, Shot=52026.050.9173————
Ours-PCABackbone=DINOv2-L, Components=128, Way=5, Shot=52026.050.9155————
SMKDBackbone=ViT-S, Way=5, Shot=52026.050.9102————
FewTUREBackbone=Swin-T, Way=5, Shot=52026.050.8996————
SemFewBackbone=Swin-T, Way=5, Shot=52026.050.8989————
ANROT-HELANetN-way=5, K-shot=5, Backbone=ResNet122025.100.895————
ABHFA-NetN-way=5, K-shot=5, Backbone=ResNet122025.100.889————
SP-CLIPBackbone=Visformer-T, Way=5, Shot=52026.050.8855————
SYNTRANSBackbone=ResNet-12, Way=5, Shot=52026.050.8778————
HELA-VFAN-way=5, K-shot=5, Backbone=ResNet122025.100.876————
FGFLBackbone=ResNet-12, Way=5, Shot=52026.050.8721————
FeLMiN-way=5, K-shot=5, Backbone=ResNet122025.100.871————
Wasserstein VIN-way=5, K-shot=5, Backbone=ResNet122025.100.871————
MELRN-way=5, K-shot=5, Backbone=ResNet122025.100.87————
Label HallucN-way=5, K-shot=5, Backbone=ResNet122025.100.868————
SUNBackbone=ViT-S, Way=5, Shot=52026.050.8674————
RFSBackbone=SEResNet-12, Way=5, Shot=52026.050.8672————
IEPTN-way=5, K-shot=5, Backbone=ResNet122025.100.867————
SKD-GEN0Backbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8666————
CVETBackbone=ResNet-12, Way=5, Shot=52026.050.8662————
IER-distillN-way=5, K-shot=5, Backbone=ResNet122025.100.866————
SKD-GEN1Backbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.865————
PC-FSLBackbone=ResNet-12, Way=5, Shot=52026.050.8609————
RFS-distillBackbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8603————
Deep-EMDN-way=5, K-shot=5, Backbone=ResNet122025.100.86————
RFS-distillN-way=5, K-shot=5, Backbone=ResNet122025.100.86————
SKD-Gen1N-way=5, K-shot=5, Backbone=ResNet122025.100.86————
AssoAlignN-way=5, K-shot=5, Backbone=ResNet182025.100.86————
KSTNETBackbone=ResNet-12, Way=5, Shot=52026.050.8585————
Fine-tuningBackbone=WRN-28-10, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8555————
SimpleShotShot=5-Shot, Way=5-Way, Backbone=Wide ResNet (WRN)-28-102018.120.8531————
BoostingBackbone=WRN-28-10, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8498————
LPE-CLIPBackbone=ResNet-12, Way=5, Shot=52026.050.8488————
FEATN-way=5, K-shot=5, Backbone=ResNet122025.100.848————
FEATBackbone=ResNet-12, Way=5, Shot=52026.050.8479————
RFS-simpleBackbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8441————
RFS-SimpleN-way=5, K-shot=5, Backbone=ResNet122025.100.844————
FEATShot=5-Shot, Way=5-Way, Backbone=Wide ResNet (WRN)-28-102018.120.8438————
SYNTRANSBackbone=ViT-S, Way=5, Shot=12026.050.8431————
SEGABackbone=ResNet-12, Way=5, Shot=52026.050.8428————
ProtoNetBackbone=ResNet-12, Way=5, Shot=52026.050.8401————
Ours-PCABackbone=DINOv2-L, Components=512, Way=5, Shot=12026.050.8401————
Ours-RawBackbone=DINOv2-L, Way=5, Shot=12026.050.8361————
ProtoNetN-way=5, K-shot=5, Backbone=ResNet122025.100.834————
Meta-BaselineBackbone=ResNet-12, Way=5, Shot=52026.050.8329————
DSN-MRN-way=5, K-shot=5, Backbone=ResNet122025.100.829————
Shot-FreeN-way=5, K-shot=5, Backbone=ResNet122025.100.826————
Shot-FreeBackbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8259————
AM3Backbone=ResNet-12, Way=5, Shot=52026.050.8258————
SemFewBackbone=Swin-T, Way=5, Shot=12026.050.8237————
Ours-PCABackbone=DINOv2-L, Components=256, Way=5, Shot=12026.050.8223————
ProtoNet + SiMTBackbone=ResNet-12, Shot=5-shot2022.100.8182————
MetaOptNetN-way=5, K-shot=5, Backbone=ResNet122025.100.816————
MetaOptNetBackbone=ResNet-12, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8156————
MetaOptNetBackbone=ResNet-18, Way=5, Shot=52026.050.8156————
LEO-trainvalBackbone=WRN-28-10, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.8144————
LEOShot=5-Shot, Way=5-Way, Backbone=Wide ResNet (WRN)-28-102018.120.8144————
MTLN-way=5, K-shot=5, Backbone=ResNet122025.100.806————
MatchNetBackbone=ResNet-12, Way=5, Shot=52026.050.806————
TapNetN-way=5, K-shot=5, Backbone=ResNet122025.100.803————
ProtoNetBackbone=ResNet-12, Shot=5-shot2022.100.7994————
Ours-PCABackbone=DINOv2-L, Components=128, Way=5, Shot=12026.050.7989————
SYNTRANSBackbone=ResNet-12, Way=5, Shot=12026.050.7969————
Ours-ICABackbone=DINOv2-L, Components=128, Way=5, Shot=12026.050.7935————
Ours-ICABackbone=DINOv2-L, Components=256, Way=5, Shot=12026.050.7924————
MAMLN-way=5, K-shot=50, Supervision=supervised2022.090.7916————
KTNBackbone=ResNet-12, Way=5, Shot=52026.050.7906————
SMKDBackbone=ViT-S, Way=5, Shot=12026.050.7883————
EPN-way=5, K-shot=50, Supervision=supervised2022.090.7878————
MetaSGD + SiMTBackbone=ResNet-12, Shot=5-shot2022.100.7804————
SP-CLIPBackbone=Visformer-T, Way=5, Shot=12026.050.7803————
ABHFA-NetN-way=5, K-shot=1, Backbone=ResNet122025.100.779————
EPN-way=5, K-shot=20, Supervision=supervised2022.090.774————
MetaSGDBackbone=ResNet-12, Shot=5-shot2022.100.7637————
FewTUREBackbone=Swin-T, Way=5, Shot=12026.050.7632————
PL-CFE-MAMLN-way=5, K-shot=502022.090.7575————
MAMLN-way=5, K-shot=20, Supervision=supervised2022.090.7561————
ANIL + SiMTBackbone=ResNet-12, Shot=5-shot2022.100.7559————
KSTNETBackbone=ResNet-12, Way=5, Shot=12026.050.7552————
ANROT-HELANetN-way=5, K-shot=1, Backbone=ResNet122025.100.753————
Ours-ICABackbone=DINOv2-L, Components=512, Way=5, Shot=12026.050.7505————
Wasserstein VIN-way=5, K-shot=1, Backbone=ResNet122025.100.746————
MAML + SiMTBackbone=ResNet-12, Shot=5-shot2022.100.744————
PC-FSLBackbone=ResNet-12, Way=5, Shot=12026.050.7419————
LPE-CLIPBackbone=ResNet-12, Way=5, Shot=12026.050.7388————
MAMLBackbone=ResNet-12, Shot=5-shot2022.100.7378————
ANILBackbone=ResNet-12, Shot=5-shot2022.100.735————
FGFLBackbone=ResNet-12, Way=5, Shot=12026.050.7321————
PL-CFE-EPN-way=5, K-shot=502022.090.7306————
SUNBackbone=ViT-S, Way=5, Shot=12026.050.7299————
IER-distillN-way=5, K-shot=1, Backbone=ResNet122025.100.727————
Prototypical NetworksBackbone=64-64-64-64, Shot=5-shot, Way=5-way, Training Split=train+val2020.060.7269————
ProtoNet + SiMTBackbone=Conv4, Shot=5-shot2022.100.7269————
CVETBackbone=ResNet-12, Way=5, Shot=12026.050.7262————