FCOS: Fully Convolutional One-Stage Object Detection

Benchmark Model Rank Results
2d-object-detection-on-sardet-100kFCOS#8box mAP: 49.8
object-detection-on-cocoFCOS (ResNeXt-64x4d-101-FPN 4 + improvements)#138box mAP: 44.7AP50: 64.1AP75: 48.4APS: 27.6APM: 47.5APL: 55.6
object-detection-on-cocoFCOS (ResNeXt-101-64x4d-FPN)#157box mAP: 43.2AP50: 62.8AP75: 46.6APS: 26.5APM: 46.2APL: 53.3
object-detection-on-cocoFCOS (ResNeXt-32x8d-101-FPN)#167box mAP: 42.7AP50: 62.2AP75: 46.1APS: 26.0APM: 45.6APL: 52.6
object-detection-on-cocoFCOS (HRNet-W32-5l)#174box mAP: 42.0AP50: 60.4AP75: 45.3APS: 25.4APM: 45.0APL: 51.0
object-detection-on-coco-minivalFCOS (ResNet-50-FPN + improvements)#192box AP: 38.6AP50: 57.4AP75: 41.4APS: 22.3APM: 42.5APL: 49.8
object-detection-on-coco-oFCOS (ResNet-50)#38Average mAP: 16.7Effective Robustness: 0.25
pedestrian-detection-on-tju-ped-campusFCOS#2R (miss rate): 31.89RS (miss rate): 69.04HO (miss rate): 81.28
pedestrian-detection-on-tju-ped-trafficFCOS#4R (miss rate): 24.35RS (miss rate): 37.40HO (miss rate): 63.73