Bottom-up Object Detection by Grouping Extreme and Center Points

Benchmark Model Rank Results
object-detection-on-cocoExtremeNet (Hourglass-104, multi-scale)#152box mAP: 43.7AP50: 60.5AP75: 47.0APS: 24.1APM: 46.9APL: 57.6
object-detection-on-cocoExtremeNet (Hourglass-104, single-scale)#192box mAP: 40.2AP50: 55.5AP75: 43.2APS: 20.4APM: 43.2APL: 53.1
object-detection-on-coco-minivalExtremeNet (Hourglass-104, multi-scale)#141box AP: 43.3AP50: 59.6AP75: 46.8APS: 25.7APM: 46.6APL: 59.4
object-detection-on-coco-minivalExtremeNet (Hourglass-104, single-scale)#179box AP: 40.3AP50: 55.1AP75: 43.7APS: 21.6APM: 44.0APL: 56.1