Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

Benchmark Model Rank Results
semantic-segmentation-on-synpassPVT#4mIoU: 32.68%
semantic-segmentation-on-densepassPVT (Tiny, FPN)#26mIoU: 31.20%
2d-human-pose-estimation-on-coco-wholebodyPVT#31WB: 58.9body: 67.3foot: 66.0face: 74.5hand: 54.5
instance-segmentation-on-coco-minivalPVT-Large + Mask R-CNN#87mask AP: 40.7
semantic-segmentation-on-ade20kPVT-Large + Semantic FPN#213Validation mIoU: 44.8
object-detection-on-coco-val2017PVT-Large (RetinaNet 3x,MS)#343box AP: 43.4AP50: 63.6AP75: 46.1APS: 26.1APM: 46.0APL: 59.5
object-detection-on-coco-val2017PVT-Large (RetinaNet 1x)#357box AP: 42.6AP50: 63.7AP75: 45.4APS: 25.8APM: 46.0APL: 58.4
image-classification-on-imagenetPVT-Large#650Top 1 Accuracy: 81.7%