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ResearchFormerly WizWand

5-way Few-shot Classification on Dogs

82.06AccuracyHMDRN
37.360848.965460.5772.1746Jun 25, 2025
Updated 5mo ago

Evaluation results

MethodLinks
HMDRNN-shot=5-shot, Backbone=Conv-42025.0682.06
BiFRNN-shot=5-shot, Backbone=Conv-42025.0681.29
C2-NetN-shot=5-shot, Backbone=Conv-42025.0681.23
FRN+TDMN-shot=5-shot, Backbone=Conv-42025.0679.59
FRNN-shot=5-shot, Backbone=Conv-42025.0679.26
SRNetN-shot=5-shot, Backbone=Conv-42025.0675.48
CTXN-shot=5-shot, Backbone=Conv-42025.0673.59
VFDN-shot=5-shot, Backbone=Conv-42025.0673
BSNet(D&C)N-shot=5-shot, Backbone=Conv-42025.0671.9
MattMLN-shot=5-shot, Backbone=Conv-42025.0671.34
ProtoNetN-shot=5-shot, Backbone=Conv-42025.0670.77
DN4N-shot=5-shot, Backbone=Conv-42025.0669.81
PARNN-shot=5-shot, Backbone=Conv-42025.0668.06
DLGN-shot=5-shot, Backbone=Conv-42025.0667.07
HMDRNN-shot=1-shot, Backbone=Conv-42025.0666.76
C2-NetN-shot=1-shot, Backbone=Conv-42025.0666.42
RelationN-shot=5-shot, Backbone=Conv-42025.0666.2
DeepEMDN-shot=5-shot, Backbone=Conv-42025.0665.74
BiFRNN-shot=1-shot, Backbone=Conv-42025.0664.74
FRN+TDMN-shot=1-shot, Backbone=Conv-42025.0662.68
MixtFSLN-shot=5-shot, Backbone=Conv-42025.0662.22
LRPABNN-shot=5-shot, Backbone=Conv-42025.0660.94
FRNN-shot=1-shot, Backbone=Conv-42025.0660.41
MatchingN-shot=5-shot, Backbone=Conv-42025.0659.79
SAMLN-shot=5-shot, Backbone=Conv-42025.0659.65
DSNN-shot=5-shot, Backbone=Conv-42025.0659.42
CTXN-shot=1-shot, Backbone=Conv-42025.0657.86
VFDN-shot=1-shot, Backbone=Conv-42025.0657.03
SRNetN-shot=1-shot, Backbone=Conv-42025.0656
PARNN-shot=1-shot, Backbone=Conv-42025.0655.86
MattMLN-shot=1-shot, Backbone=Conv-42025.0654.84
DLGN-shot=1-shot, Backbone=Conv-42025.0647.77
RelationN-shot=1-shot, Backbone=Conv-42025.0647.35
DeepEMDN-shot=1-shot, Backbone=Conv-42025.0646.73
ProtoNetN-shot=1-shot, Backbone=Conv-42025.0646.66
MatchingN-shot=1-shot, Backbone=Conv-42025.0646.1
LRPABNN-shot=1-shot, Backbone=Conv-42025.0645.72
MixtFSLN-shot=1-shot, Backbone=Conv-42025.0645.61
SAMLN-shot=1-shot, Backbone=Conv-42025.0645.46
DSNN-shot=1-shot, Backbone=Conv-42025.0644.52
BSNet(D&C)N-shot=1-shot, Backbone=Conv-42025.0643.42
DN4N-shot=1-shot, Backbone=Conv-42025.0639.08