Shuffle and Learn (AlexNet)
Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Robots2 results
- Top-1 Accuracy· 2016-03-28SOTA19.8best: 79.7 (MVD (ViT-B))
- 3-fold Accuracy· 2016-03-2850.9best: 99.7 (FTP-UniFormerV2-L/14)
Time Series2 results
- Top-1 Accuracy· 2016-03-28SOTA19.8best: 79.7 (MVD (ViT-B))
- 3-fold Accuracy· 2016-03-2850.9best: 99.7 (FTP-UniFormerV2-L/14)