X-volution: On the unification of convolution and self-attention

Benchmark Model Rank Results
image-classification-on-imagenetResNet-34 (X-volution, stage3)–Top 1 Accuracy: 75%
image-classification-on-imagenetResNet-50 (X-volution, stage3)–Top 1 Accuracy: 76.6%
instance-segmentation-on-coco-minivalMask R-CNN (FPN, X-volution, SA)–mask AP: 37.2APL: 53.1APM: 40APS: 19.2
object-detection-on-coco-val2017Faster R-CNN (FPN, X-volution)–box AP: 42.8AP50: 64AP75: 46.4APS: 26.9APM: 46APL: 55