GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Benchmark Model Rank Results
object-detection-on-coco-oGCNet (RX-101-32x4d-DCN)#25Average mAP: 26.0Effective Robustness: 4.38
instance-segmentation-on-coco-test-devGCNet (ResNeXt-101 + DCN + cascade + GC r16)#58mask AP: 41.5%
instance-segmentation-on-coco-minivalGCNet (ResNeXt-101 + DCN + cascade + GC r16)#85mask AP: 40.9
object-detection-on-coco-test-devGCNet (ResNeXt-101 + DCN + cascade + GC r4)#99box mAP: 48.4AP50: 67.6AP75: 52.7GFLOPs: 547.8
object-detection-on-coco-val2017GCNet (ResNeXt-101 + DCN + cascade + GC r16)#262box AP: 47.9AP50: 66.9AP75: 52.2