Codesota · Models · MAE (ViT-H, 448)3 results · 3 benchmarks
Model card
MAE (ViT-H, 448).
unknown
§ 02 · Benchmarks
Every benchmark MAE (ViT-H, 448) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet-1K | Computer Vision · Image Classification | accuracy | 87.8% | #6 | — | source ↗ |
| 02 | ADE20K | Computer Vision · Semantic Segmentation | miou | 53.6% | #9 | — | source ↗ |
| 03 | COCO | Computer Vision · Object Detection | map | 53.3% | #23 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where MAE (ViT-H, 448) actually performs.
§ 04 · Papers
1 paper with results for MAE (ViT-H, 448).
- 2021-11-11· 3 results
Masked Autoencoders Are Scalable Vision Learners
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
3
results
0 of 3 rows marked verified.