Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ConvMLP-S

ConvMLP-S

Reported on 6 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 Vision4 results

Image ClassificationonCIFAR-10
Percentage correct· uses extra data· 2021-09-09
98
best: 99.5 (ViT-H/14)
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454
Image ClassificationonFlowers-102
Accuracy· uses extra data· 2021-09-09
99.5
best: 99.76 (CCT-14/7x2)
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454
Image ClassificationonCIFAR-100
Percentage correct· uses extra data· 2021-09-09
87.4
best: 96.08 (EffNet-L2 (SAM))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454
Image ClassificationonImageNet
Top 1 Accuracy· 2021-09-09
76.8
best: 88.3 (Unicom (ViT-L/14@336px) (Finetuned))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454

Medical1 result

Semantic SegmentationonADE20K
Validation mIoU· 2021-09-09
35.8
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
35.8
best: 63.6 (ViT-P (InternImage-H))
ConvMLP: Hierarchical Convolutional MLPs for Vision arXiv:2109.04454