Tweeted By @ak92501

Neighborhood Attention Transformer
abs: https://t.co/8IHy2LfbjE

Experimental results on NAT are competitive; NAT-Tiny reaches 83.2% top-1 accuracy on ImageNet with only 4.3 GFLOPs and 28M parameters, 51.4% mAP on MS-COCO and 48.4% mIoU on ADE20k pic.twitter.com/M7rUHOM4Tr

— AK (@ak92501) April 15, 2022