Active Token Mixer

Benchmark Model Rank Results
semantic-segmentation-on-ade20kActiveMLP-L(UperNet)#112Validation mIoU: 51.1Params (M): 108
object-detection-on-coco-val2017ATMNet-B (Cascade Mask R-CNN 3x, MS)#165box AP: 52.5AP50: 71.6AP75: 57.0
image-classification-on-imagenetActiveMLP-L#307Top 1 Accuracy: 84.8%Number of params: 76.4MGFLOPs: 36.4
image-classification-on-imagenetActiveMLP-T#621Top 1 Accuracy: 82%Number of params: 27.2MGFLOPs: 4