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Image Classification on CIN-3DCC 1.0 (test)

45.8Mean AccuracyABR
4.09614.92325.7536.577Feb 6, 2026

Evaluation results

MethodLinks
ABRBackbone=ResNet-50, Batch size=642026.0245.8
RDumbBackbone=ResNet-50, Batch size=642026.0245.2
EATABackbone=ResNet-50, Batch size=642026.0243.6
ETABackbone=ResNet-50, Batch size=642026.0242.7
CoTTABackbone=ResNet-50, Batch size=642026.0237.6
BNBackbone=ResNet-50, Batch size=642026.0235.7
Pre-trainedBackbone=ResNet-50, Batch size=642026.0231.5
RPLBackbone=ResNet-50, Batch size=642026.0230
TENTBackbone=ResNet-50, Batch size=642026.0224.4
SLRBackbone=ResNet-50, Batch size=642026.0212.2
CPLBackbone=ResNet-50, Batch size=642026.025.7