Hybrid Task Cascade for Instance Segmentation

Benchmark Model Rank Results
instance-segmentation-on-cocoHTC + ResNeXt-101-FPN + DCN#59mask AP: 41.2
instance-segmentation-on-cocoHTC + ResNeXt-101-FPN#60mask AP: 41.2%
instance-segmentation-on-coco-minivalHTC (ResNet-50)#77mask AP: 38.2
object-detection-on-cocoHTC (ResNeXt-101-FPN)#119box mAP: 47.1AP50: 63.9AP75: 44.7APS: 22.8APM: 43.9APL: 54.6
object-detection-on-coco-minivalHTC (cascade)#142box AP: 43.2AP50: 59.4AP75: 40.7APS: 20.3APM: 40.9APL: 52.3
object-detection-on-coco-oHTC (ResNet-50)#32Average mAP: 19.1Effective Robustness: 0.08