Object Detection on VOC 07+12 (trainval)
82.6AP50SwAV
Evaluation Results
| Method | Links | |
|---|---|---|
| SwAVTraining=Finetuned, Detector=Faster R-CNN R50-C4, Backbone=ResNet-502020.06 | 82.6 | |
| SwAVEvaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 82.6 | |
| MoCov2Evaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 82.5 | |
| MoCoEvaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 81.5 | |
| SupervisedTraining=Finetuned, Detector=Faster R-CNN R50-C4, Backbone=ResNet-502020.06 | 81.3 | |
| SupervisedEvaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 81.3 | |
| BoWNetEvaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 81.3 | |
| PIRLEvaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 80.7 | |
| NPID++Evaluation protocol=Finetuning, Backbone=ResNet-50, Detector=Faster R-CNN R50-C4, Pre-trained=ImageNet2020.06 | 79.1 |