Tweeted By @ak92501

S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
paper: https://t.co/SXOcXSwt5n

Using 55M parameters, S2-MLPv2-Medium achieves an 83.6% top-1 accuracy on the ImageNet-1K benchmark using 224 × 224 images without self-attention and external training data pic.twitter.com/cqTNTvcsfg

— AK (@ak92501) August 3, 2021