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ResearchFormerly WizWand

Image Classification on Tiny-ImageNet LT (test)

94.67Accuracy (Dogs)GLOT
91.435692.275393.11593.9547Nov 6, 2023
Updated 8mo ago

Evaluation results

MethodLinks
GLOTModel=ResNet202023.1194.6796.1498.05
WDROModel=ResNet202023.1194.4695.598.19
DRAUC-DfModel=ResNet322023.1194.4395.2997.37
WDROModel=ResNet322023.1194.3995.5197.67
CEModel=ResNet322023.1194.3194.4997.76
GLOTModel=ResNet322023.1194.0895.1697.92
DRAUC-DaModel=ResNet322023.1194.0395.9697.65
DROLTModel=ResNet202023.1193.8996.497.86
DRAUC-DaModel=ResNet202023.1193.7695.9497.25
CEModel=ResNet202023.1193.7294.4997.72
ADVShiftModel=ResNet202023.1193.793.5397.66
FocalLossModel=ResNet322023.1193.4192.8597.78
DRAUC-DfModel=ResNet202023.1193.3995.5897.5
AUCMLossModel=ResNet202023.1193.3594.1197.34
FocalLossModel=ResNet202023.1193.2592.8797.66
AUCMLossModel=ResNet322023.1193.1995.1997.57
ADVShiftModel=ResNet322023.1192.9294.7197.59
AUCDROModel=ResNet202023.1192.5893.0496.29
DROLTModel=ResNet322023.1191.6896.0697.82
AUCDROModel=ResNet322023.1191.5693.1596.33