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Attribute Prediction on WBCAtt+

95.16AccuracyCell structure-aware model
93.953694.266894.5894.8932May 19, 2026

Evaluation results

MethodLinks
Cell structure-aware modelBackbone=ConvNeXt-T, Model Architecture=Cell structure-aware, Context Aggregation=Max Pooling2026.0595.1692.9893.0692.97
Cell structure-aware modelBackbone=VGG16, Model Architecture=Cell structure-aware, Context Aggregation=Max Pooling2026.0594.8792.3492.9492.56
Cell structure-aware modelBackbone=ResNet50, Model Architecture=Cell structure-aware, Context Aggregation=Max Pooling2026.0594.7592.2892.7992.46
Cell structure-aware modelBackbone=ViT-B/16, Model Architecture=Cell structure-aware, Context Aggregation=Max Pooling2026.0594.5892.4692.1792.24
ConvNeXt-TBackbone=ConvNeXt-T, Model Architecture=Baseline attribute predictor2026.0594.4791.8191.6591.62
ResNet50Backbone=ResNet50, Model Architecture=Baseline attribute predictor2026.0594.1591.491.0691.09
ViT-B/16Backbone=ViT-B/16, Model Architecture=Baseline attribute predictor2026.0594.0591.4991.0191.11
VGG16Backbone=VGG16, Model Architecture=Baseline attribute predictor2026.059491.0690.890.87