Image Classification on CIFAR-100 (test) (Clean Accuracy and Corruption Robustness)
0.574Clean AccuracyLipNeXt L32W2048
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LipNeXt L32W2048#Param.=256M2026.01 | 0.574 | 0.441 | 0.319 | 0.222 | |
| BRONet#Param.=68M2026.01 | 0.543 | 0.402 | 0.291 | 0.203 | |
| LipNeXt L32W1024#Param.=64M2026.01 | 0.533 | 0.413 | 0.305 | 0.218 | |
| LiResNet#Param.=83M2026.01 | 0.53 | 0.402 | 0.283 | 0.192 | |
| LOT-20#Param.=18M2026.01 | 0.488 | 0.352 | 0.243 | 0.162 | |
| SOC-20#Param.=27M2026.01 | 0.478 | 0.348 | 0.237 | 0.158 | |
| CPL XL#Param.=236M2026.01 | 0.478 | 0.334 | 0.209 | 0.126 | |
| SLL X-Large#Param.=236M2026.01 | 0.478 | 0.367 | 0.283 | 0.222 | |
| Sandwich#Param.=26M2026.01 | 0.463 | 0.353 | 0.263 | 0.203 | |
| AOL Large#Param.=136M2026.01 | 0.437 | 0.337 | 0.263 | 0.207 | |
| Cayley Large#Param.=21M2026.01 | 0.433 | 0.292 | 0.188 | 0.11 |