Object Detection on GC10 Mini
60.3mAP@.5AGSSP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AGSSPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 60.3 | 28.9 | |
| AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 59.7 | 28.1 | |
| DetectionBackbone=CSPDarknet, Pretraining Dataset=COCO2025.09 | 59.3 | 28.1 | |
| AGSSPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 59.1 | 28.3 | |
| AGSSPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 58.9 | 28.3 | |
| AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.09 | 58.8 | 29.2 | |
| AGBPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 52.1 | 24.3 | |
| AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.09 | 52.1 | 24.7 | |
| ClassificationBackbone=Swin-Base, Pretraining Dataset=Industrial2025.09 | 51.6 | 24.2 | |
| SimMIMBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.09 | 51 | 23.8 | |
| DINOv1Backbone=ResNet50, Pretraining Dataset=ImageNet2025.09 | 50.6 | 23.5 | |
| ClassificationBackbone=WideResNet50, Pretraining Dataset=ImageNet2025.09 | 50.5 | 23.5 | |
| ClassificationBackbone=ResNet50, Pretraining Dataset=ImageNet2025.09 | 50.4 | 23.3 | |
| SimMIMBackbone=Swin-Base, Pretraining Dataset=Industrial2025.09 | 50 | 23.7 | |
| AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 49.9 | 23.2 | |
| AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 49.8 | 23.7 | |
| AGBPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.09 | 49.7 | 24 | |
| ClassificationBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.09 | 49.7 | 23.8 | |
| ClassificationBackbone=CSPDarknet, Pretraining Dataset=Industrial2025.09 | 49.6 | 23.4 | |
| ClassificationBackbone=ResNet50, Pretraining Dataset=Industrial2025.09 | 49.3 | 23.7 | |
| AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=MoCov32025.09 | 49.2 | 23.9 | |
| ClassificationBackbone=CSPDarknet, Pretraining Dataset=ImageNet2025.09 | 49.1 | 22.9 | |
| MoCov3Backbone=ResNet50, Pretraining Dataset=Industrial2025.09 | 48.4 | 22.5 | |
| MoCov3Backbone=ResNet50, Pretraining Dataset=ImageNet2025.09 | 48.3 | 22.7 | |
| Training from scratchBackbone=CSPDarknet2025.09 | 48.1 | 22.7 | |
| Training from scratchBackbone=Swin-Base2025.09 | 44.7 | 22.3 | |
| Training from scratchBackbone=ResNet502025.09 | 43.8 | 20.6 |