Image Classification on CIFAR-100 (Standard Evaluation)
65Top-1 AccuracyG-VBSM
Evaluation Results
| Method | Links | |
|---|---|---|
| G-VBSMIPC=50, Approach=Training Set Synthesis, Architecture=R182023.11 | 65 | |
| G-VBSMIPC=10, Approach=Training Set Synthesis, Architecture=R182023.11 | 59.5 | |
| Whole DatasetArchitecture=CW1282023.11 | 56.2 | |
| SRe2LIPC=50, Approach=Training Set Synthesis, Architecture=R182023.11 | 49.5 | |
| DataDAMIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 49.4 | |
| CAFEIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 47.7 | |
| G-VBSMIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 45.7 | |
| DMIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 43.6 | |
| MTTIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 42.9 | |
| KIPIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 40.1 | |
| G-VBSMIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 38.7 | |
| DataDAMIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 34.8 | |
| HerdingIPC=50, Approach=Coreset Selection, Architecture=CW1282023.11 | 33.7 | |
| MTTIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 33.1 | |
| SRe2LIPC=10, Approach=Training Set Synthesis, Architecture=R182023.11 | 31.6 | |
| CAFEIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 31.5 | |
| DCIPC=50, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 30.6 | |
| K-CenterIPC=50, Approach=Coreset Selection, Architecture=CW1282023.11 | 30.5 | |
| RandomIPC=50, Approach=Coreset Selection, Architecture=CW1282023.11 | 30 | |
| DMIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 29.7 | |
| G-VBSMIPC=1, Approach=Training Set Synthesis, Architecture=R182023.11 | 25.9 | |
| DCIPC=10, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 25.2 | |
| MTTIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 24.3 | |
| HerdingIPC=10, Approach=Coreset Selection, Architecture=CW1282023.11 | 17.3 | |
| K-CenterIPC=10, Approach=Coreset Selection, Architecture=CW1282023.11 | 17.3 | |
| G-VBSMIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 16.4 | |
| ForgettingIPC=10, Approach=Coreset Selection, Architecture=CW1282023.11 | 15.1 | |
| RandomIPC=10, Approach=Coreset Selection, Architecture=CW1282023.11 | 14.6 | |
| DataDAMIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 14.5 | |
| CAFEIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 14 | |
| DCIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 12.8 | |
| KIPIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 12 | |
| DMIPC=1, Approach=Training Set Synthesis, Architecture=CW1282023.11 | 11.4 | |
| K-CenterIPC=1, Approach=Coreset Selection, Architecture=CW1282023.11 | 8.4 | |
| HerdingIPC=1, Approach=Coreset Selection, Architecture=CW1282023.11 | 8.3 | |
| ForgettingIPC=1, Approach=Coreset Selection, Architecture=CW1282023.11 | 4.5 | |
| RandomIPC=1, Approach=Coreset Selection, Architecture=CW1282023.11 | 4.2 | |
| SRe2LIPC=1, Approach=Training Set Synthesis, Architecture=R182023.11 | 2 |