Object Detection on Aircraft
88.1Mean PC AccuracyCLOP
Evaluation Results
| Method | Links | |
|---|---|---|
| CLOPPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 88.1 | |
| SimCLRPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 87.85 | |
| CCSSLPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 85.28 | |
| FixMatchPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 84.62 | |
| SimMatchV2Pre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 84.53 | |
| SupConPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 84.09 | |
| SsCLPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 83.41 | |
| SimMatchPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 82.69 |