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Object Detection on GC10 Mini

60.3mAP@.5AGSSP
43.1447.59552.0556.505Sep 23, 2025

Evaluation results

MethodLinks
AGSSPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0960.328.9
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0959.728.1
DetectionBackbone=CSPDarknet, Pretraining Dataset=COCO2025.0959.328.1
AGSSPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0959.128.3
AGSSPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0958.928.3
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0958.829.2
AGBPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0952.124.3
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0952.124.7
ClassificationBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0951.624.2
SimMIMBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.095123.8
DINOv1Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0950.623.5
ClassificationBackbone=WideResNet50, Pretraining Dataset=ImageNet2025.0950.523.5
ClassificationBackbone=ResNet50, Pretraining Dataset=ImageNet2025.0950.423.3
SimMIMBackbone=Swin-Base, Pretraining Dataset=Industrial2025.095023.7
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0949.923.2
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0949.823.7
AGBPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0949.724
ClassificationBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0949.723.8
ClassificationBackbone=CSPDarknet, Pretraining Dataset=Industrial2025.0949.623.4
ClassificationBackbone=ResNet50, Pretraining Dataset=Industrial2025.0949.323.7
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=MoCov32025.0949.223.9
ClassificationBackbone=CSPDarknet, Pretraining Dataset=ImageNet2025.0949.122.9
MoCov3Backbone=ResNet50, Pretraining Dataset=Industrial2025.0948.422.5
MoCov3Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0948.322.7
Training from scratchBackbone=CSPDarknet2025.0948.122.7
Training from scratchBackbone=Swin-Base2025.0944.722.3
Training from scratchBackbone=ResNet502025.0943.820.6