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ResearchFormerly WizWand

Few-shot classification on tiered-meta-iNat fine-grained

76.87AccuracyMCL
33.81444.99256.1767.348Jun 10, 2021
Updated 8mo ago

Evaluation results

MethodLinks
MCLBackbone=ResNet-12, Shot=5-shot2021.0676.87
FRNBackbone=ResNet-12, Shot=5-shot2021.0676.62
MCL-KatzBackbone=ResNet-12, Shot=5-shot2021.0676.05
DSNBackbone=ResNet-12, Shot=5-shot2021.0672.79
ProtoNet + MCLBackbone=ResNet-12, Shot=5-shot2021.0672.5
DN4Backbone=ResNet-12, Shot=5-shot2021.0672.29
ProtoNetBackbone=ResNet-12, Shot=5-shot2021.0671.06
CTXBackbone=ResNet-12, Shot=5-shot2021.0669.88
DeepEMDBackbone=ResNet-12, Shot=5-shot2021.0666.27
MCLBackbone=Conv-4, Shot=5-shot2021.0664.61
MCL-KatzBackbone=Conv-4, Shot=5-shot2021.0664.24
DN4Backbone=Conv-4, Shot=5-shot2021.0664.17
FRNBackbone=Conv-4, Shot=5-shot2021.0663.36
CTXBackbone=Conv-4, Shot=5-shot2021.0660.84
DSNBackbone=Conv-4, Shot=5-shot2021.0660.11
ProtoNet + MCLBackbone=Conv-4, Shot=5-shot2021.0659.16
ProtoNetBackbone=Conv-4, Shot=5-shot2021.0654.85
MCLBackbone=ResNet-12, Shot=1-shot2021.0651.35
ProtoNet + MCLBackbone=ResNet-12, Shot=1-shot2021.0651.22
MCL-KatzBackbone=ResNet-12, Shot=1-shot2021.0649.68
DN4Backbone=ResNet-12, Shot=1-shot2021.0648.99
FRNBackbone=ResNet-12, Shot=1-shot2021.0648.86
DeepEMDBackbone=Conv-4, Shot=5-shot2021.0648.55
DeepEMDBackbone=ResNet-12, Shot=1-shot2021.0648.14
ProtoNetBackbone=ResNet-12, Shot=1-shot2021.0647.61
DSNBackbone=ResNet-12, Shot=1-shot2021.0646.61
MCLBackbone=Conv-4, Shot=1-shot2021.0644.08
MCL-KatzBackbone=Conv-4, Shot=1-shot2021.0644
FRNBackbone=Conv-4, Shot=1-shot2021.0643.91
DN4Backbone=Conv-4, Shot=1-shot2021.0643.82
CTXBackbone=ResNet-12, Shot=1-shot2021.0642.91
ProtoNet + MCLBackbone=Conv-4, Shot=1-shot2021.0639.09
CTXBackbone=Conv-4, Shot=1-shot2021.0636.83
DSNBackbone=Conv-4, Shot=1-shot2021.0636.82
DeepEMDBackbone=Conv-4, Shot=1-shot2021.0636.05
ProtoNetBackbone=Conv-4, Shot=1-shot2021.0635.47