Image Classification on MNIST-R 64 rotations (test)
98.9Top-1 AccuracyGeneralist
Evaluation Results
| Method | Links | |
|---|---|---|
| Generalistrotations=without2024.06 | 98.9 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=One-hot binary, Context Encoder Type=variational2024.06 | 97.9 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=Learned embedding, Context Encoder Type=deterministic2024.06 | 97.9 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=One-hot binary, Context Encoder Type=variational2024.06 | 97.8 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Learned embedding, Context Encoder Type=stochastic2024.06 | 97.8 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=Integer, Context Encoder Type=arg max2024.06 | 97.8 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=Learned embedding, Context Encoder Type=stochastic2024.06 | 97.8 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Integer, Context Encoder Type=arg max2024.06 | 97.7 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Learned embedding, Context Encoder Type=deterministic2024.06 | 97.7 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=Integer, Context Encoder Type=uniform2024.06 | 97.7 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Integer, Context Encoder Type=uniform2024.06 | 97.6 | |
| ContextFlow++Fixed Generalist=true, Context Encoder Category=One-hot binary, Context Encoder Type=uniform2024.06 | 97.6 | |
| Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=One-hot binary, Context Encoder Type=uniform2024.06 | 97.4 | |
| Generalistrotations=with2024.06 | 96.1 |