ISTR: End-to-End Instance Segmentation with Transformers

Benchmark Model Rank Results
instance-segmentation-on-cocoISTR-SMT (Swin-L, single scale)#22mask AP: 49.7
instance-segmentation-on-cocoISTR (ResNet101-FPN-3x, single-scale)#69mask AP: 39.9%APS: 22.8APM: 41.9APL: 52.3
instance-segmentation-on-cocoISTR (ResNet50-FPN-3x, single-scale)#81mask AP: 38.6%APS: 22.1APM: 40.4APL: 50.6
object-detection-on-cocoISTR (ResNet50-FPN-3x, single-scale)#42box mAP: 56.4APS: 27.8APM: 48.7APL: 59.9
object-detection-on-cocoISTR (ResNet101-FPN-3x, single-scale)#109box mAP: 48.1APS: 28.7APM: 50.4APL: 61.5
object-detection-on-cocoISTR (ResNet50-FPN-3x)#122box mAP: 46.8