gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window

Benchmark Model Rank Results
image-classification-on-imagenetgSwin-STop 1 Accuracy: 83.01%Number of params: 39.8MGFLOPs: 7.0
image-classification-on-imagenetgSwin-TTop 1 Accuracy: 81.71%Number of params: 21.8MGFLOPs: 3.6
image-classification-on-imagenetgSwin-VTTop 1 Accuracy: 80.32%Number of params: 15.5MGFLOPs: 2.3
instance-segmentation-on-cocogSwin-Smask AP: 45.03
instance-segmentation-on-cocogSwin-Tmask AP: 44.16
instance-segmentation-on-cocogSwin-VTmask AP: 42.87
semantic-segmentation-on-ade20k-valgSwin-SmIoU: 49.69Pixel Accuracy: 83.43
semantic-segmentation-on-ade20k-valgSwin-TmIoU: 47.63Pixel Accuracy: 82.60
semantic-segmentation-on-ade20k-valgSwin-VTmIoU: 45.07Pixel Accuracy: 81.79