Active Token Mixer

Benchmark Model Rank Results
image-classification-on-imagenetActiveMLP-L#281Top 1 Accuracy: 84.8%Number of params: 76.4MGFLOPs: 36.4
image-classification-on-imagenetActiveMLP-T#567Top 1 Accuracy: 82%Number of params: 27.2MGFLOPs: 4
object-detection-on-coco-minivalActiveMLP-B (Cascade Mask R-CNN)#66box AP: 52.3
semantic-segmentation-on-ade20kActiveMLP-L(UperNet)#99Validation mIoU: 51.1Params (M): 108