Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics

Benchmark Model Rank Results
fine-grained-image-classification-on-oxford-1MANO-tiny#11Accuracy: 88.31
fine-grained-image-classification-on-stanfordMANO-tiny#67Accuracy: 65.68
image-classification-on-cifar-100MANO-tiny#66Percentage correct: 85.08
image-classification-on-flowers-102MANO-tiny#47Accuracy: 89.00
image-classification-on-food-101-1MANO-tiny#5Accuracy (%): 82.48
image-classification-on-tiny-imagenet-1MANO-tiny#8Validation Acc: 87.52