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Few-shot classification on meta-iNat fine-grained

91.84AccuracyMCL-Katz
52.257662.533872.8183.0862Jun 10, 2021
Updated 8mo ago

Evaluation results

MethodLinks
MCL-KatzBackbone=ResNet-12, Shot=5-shot2021.0691.84
FRNBackbone=ResNet-12, Shot=5-shot2021.0691.83
MCLBackbone=ResNet-12, Shot=5-shot2021.0691.59
DN4Backbone=ResNet-12, Shot=5-shot2021.0691.37
ProtoNet + MCLBackbone=ResNet-12, Shot=5-shot2021.0690.53
ProtoNetBackbone=ResNet-12, Shot=5-shot2021.0690.2
DSNBackbone=ResNet-12, Shot=5-shot2021.0689.77
CTXBackbone=ResNet-12, Shot=5-shot2021.0688.39
DeepEMDBackbone=ResNet-12, Shot=5-shot2021.0686.82
MCLBackbone=Conv-4, Shot=5-shot2021.0681.31
MCL-KatzBackbone=Conv-4, Shot=5-shot2021.0681.09
FRNBackbone=Conv-4, Shot=5-shot2021.0680.45
MCLBackbone=ResNet-12, Shot=1-shot2021.0680.17
DN4Backbone=Conv-4, Shot=5-shot2021.0679.76
DN4Backbone=ResNet-12, Shot=1-shot2021.0679.58
MCL-KatzBackbone=ResNet-12, Shot=1-shot2021.0679.34
DSNBackbone=ResNet-12, Shot=1-shot2021.0678.8
CTXBackbone=Conv-4, Shot=5-shot2021.0678.8
ProtoNet + MCLBackbone=ResNet-12, Shot=1-shot2021.0678.75
DSNBackbone=Conv-4, Shot=5-shot2021.0677.38
ProtoNetBackbone=ResNet-12, Shot=1-shot2021.0676.47
DeepEMDBackbone=ResNet-12, Shot=1-shot2021.0676.05
ProtoNet + MCLBackbone=Conv-4, Shot=5-shot2021.0674.33
ProtoNetBackbone=Conv-4, Shot=5-shot2021.0673.8
FRNBackbone=ResNet-12, Shot=1-shot2021.0673.52
CTXBackbone=ResNet-12, Shot=1-shot2021.0669.04
DeepEMDBackbone=Conv-4, Shot=5-shot2021.0668.36
MCLBackbone=Conv-4, Shot=1-shot2021.0664.66
MCL-KatzBackbone=Conv-4, Shot=1-shot2021.0663.92
FRNBackbone=Conv-4, Shot=1-shot2021.0662.42
DN4Backbone=Conv-4, Shot=1-shot2021.0662.32
CTXBackbone=Conv-4, Shot=1-shot2021.0660.03
DSNBackbone=Conv-4, Shot=1-shot2021.0658.08
ProtoNet + MCLBackbone=Conv-4, Shot=1-shot2021.0657.52
DeepEMDBackbone=Conv-4, Shot=1-shot2021.0654.48
ProtoNetBackbone=Conv-4, Shot=1-shot2021.0653.78