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ResearchFormerly WizWand

Image Classification on CUB (Accuracy)

85.22AccuracyStandard
52.064860.672469.2877.8876Nov 10, 2025
Updated 7mo ago

Evaluation results

MethodLinks
StandardBackbone=ViT-L/142025.1185.22
StandardBackbone=ViT-L/142025.1185.22
FCBMBackbone=ViT-L/14, Average NEC=28.082025.1180.52
FCBMBackbone=ViT-L/142025.1180.52
CF-CBMBackbone=ViT-L/14, Average NEC=28.562025.1179.56
CF-CBMBackbone=ViT-L/142025.1179.56
LF-CBMBackbone=ViT-L/14, Average NEC=27.852025.1175.44
LF-CBMBackbone=ViT-L/142025.1175.44
Standard (sparse)Backbone=ViT-L/14, Average NEC=28.922025.1172.07
Standard (sparse)Backbone=ViT-L/142025.1172.07
StandardBackbone=ResNet502025.1171
StandardBackbone=ResNet502025.1171
PCBMBackbone=ViT-L/14, Average NEC=32.562025.1168.25
PCBMBackbone=ViT-L/142025.1168.25
CF-CBMBackbone=ResNet50, Average NEC=28.462025.1164.23
CF-CBMBackbone=ResNet502025.1164.23
FCBMBackbone=ResNet50, Average NEC=28.852025.1163.46
FCBMBackbone=ResNet502025.1163.46
PCBMBackbone=ResNet50, Average NEC=32.372025.1158.39
PCBMBackbone=ResNet502025.1158.39
LF-CBMBackbone=ResNet50, Average NEC=27.372025.1156.91
LF-CBMBackbone=ResNet502025.1156.91
Standard (sparse)Backbone=ResNet50, Average NEC=29.842025.1153.34
Standard (sparse)Backbone=ResNet502025.1153.34