ConvMLP-M

Reported on 4 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Image ClassificationonCIFAR-10
Percentage correct· uses extra data· 2021-09-09
98.6
best: 99.5 (ViT-H/14)
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2021-09-09
89.1
best: 96.08 (EffNet-L2 (SAM))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454

Medical1 result

Semantic SegmentationonADE20K
Validation mIoU· 2021-09-09
38.6
best: 63.6 (ViT-P (InternImage-H))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454

Audio1 result

10-shot image generationonADE20K
Validation mIoU· 2021-09-09
38.6
best: 63.6 (ViT-P (InternImage-H))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454