Object Detection on COCO 2014 (val)
44.2AP75Matrix-SSL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Matrix-SSLEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 44.2 | 60.8 | 41 | |
| MECEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 43.2 | 59.8 | 39.8 | |
| MoCo v2Evaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 42.5 | 58.9 | 39.3 | |
| Barlow TwinsEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 42.5 | 59 | 39.2 | |
| SimSiamEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 42.1 | 59.3 | 39.2 | |
| SwAVEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 41.3 | 58.6 | 38.4 | |
| SimCLREvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 40.9 | 57.7 | 37.9 | |
| BYOLEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 40.9 | 57.8 | 37.9 | |
| VICRegEvaluation Protocol=Fine-tuning, Pre-training Dataset=ImageNet, Backbone=ResNet-502023.05 | 40 | — | — |