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Object Detection on GC10-Det

67.7mAP@.5AGSSP
53.55657.22860.964.572Sep 23, 2025

Evaluation results

MethodLinks
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0967.734
AGSSPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0966.632.3
AGSSPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0965.331.5
DetectionBackbone=CSPDarknet, Pretraining Dataset=COCO2025.0963.831.5
AGSSPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0963.732.5
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0963.532
SimMIMBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0963.431
ClassificationBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0963.131.8
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0962.829
ClassificationBackbone=CSPDarknet, Pretraining Dataset=ImageNet2025.0962.629.4
ClassificationBackbone=CSPDarknet, Pretraining Dataset=Industrial2025.0962.329.1
AGBPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0962.129.5
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0962.131.4
AGBPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.096229.8
ClassificationBackbone=WideResNet50, Pretraining Dataset=ImageNet2025.0961.829.9
Training from scratchBackbone=CSPDarknet2025.0961.630
ClassificationBackbone=ResNet50, Pretraining Dataset=ImageNet2025.0961.429.5
MoCov3Backbone=ResNet50, Pretraining Dataset=Industrial2025.0961.227.2
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0961.230.3
SimMIMBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0960.929.7
DINOv1Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0960.227.7
ClassificationBackbone=ResNet50, Pretraining Dataset=Industrial2025.0960.129.1
ClassificationBackbone=Swin-Base, Pretraining Dataset=Industrial2025.096028.2
MoCov3Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0959.928.4
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=MoCov32025.0958.627.7
Training from scratchBackbone=Swin-Base2025.0954.826.5
Training from scratchBackbone=ResNet502025.0954.125.8