End-to-End Semi-Supervised Object Detection with Soft Teacher

Benchmark Model Rank Results
instance-segmentation-on-cocoSoft Teacher + Swin-L (HTC++, multi-scale)#11mask AP: 53.0
instance-segmentation-on-coco-minivalSoft Teacher + Swin-L(HTC++, multi-scale)#12mask AP: 52.5
instance-segmentation-on-coco-minivalSoft Teacher + Swin-L(HTC++, single-scale)#16mask AP: 51.9
object-detection-on-cocoSoft Teacher + Swin-L (HTC++, multi-scale)#23box mAP: 61.3
object-detection-on-coco-minivalSoft Teacher + Swin-L (HTC++, multi-scale)#21box AP: 60.7
object-detection-on-coco-minivalSoft Teacher+Swin-L(HTC++, single scale)#28box AP: 60.1
semi-supervised-object-detection-on-coco-1Soft Teacher + Swin-L(HTC++, multi-scale)#14mAP: 20.46
semi-supervised-object-detection-on-coco-10Soft Teacher#15mAP: 34.04detector: FasterRCNN-Res50
semi-supervised-object-detection-on-coco-100Soft Teacher#6mAP: 44.9
semi-supervised-object-detection-on-coco-5Soft Teacher + Swin-L(HTC++, multi-scale)#12mAP: 30.74