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Pass classification on J1 League dataset

77.6AccuracyPassNet
54.09660.19866.372.402Mar 11, 2025

Evaluation results

MethodLinks
PassNetCategory=Image-base2025.0377.6787877.8
Pure-ConvNeXtCategory=Image-base2025.0375.375.673.574
GCNCategory=Graph-base2025.0369.769.368.368.4
ViTCategory=Image-base2025.0369.469.269.469.4
ResNet-50Category=Image-base2025.0366.766.666.666.2
CI-GNNCategory=Graph-base2025.0366.368.871.975.8
EfficientNet-V2Category=Image-base2025.0360.360.26060
GoogleNetCategory=Image-base2025.03555530.839.4