Image Classification on ANIMAL-10N
0.9252AccuracyIndividual
Evaluation Results
| Method | Links | |
|---|---|---|
| IndividualBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=12024.05 | 0.9252 | |
| ProMixBackbone=VGG-192022.07 | 0.8998 | |
| LaT-IBCategory=Ours2025.12 | 0.8849 | |
| EMR-MERGINGBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.877 | |
| Jo-SNC-SEMPublication=Ours2025.08 | 0.8719 | |
| Dynamic Loss2022.11 | 0.8654 | |
| Jo-SNCPublication=IEEE TPAMI 20252025.08 | 0.8617 | |
| (ELR+)+VIBCategory=Denoise + IB2025.12 | 0.8587 | |
| Promix+VIBCategory=Denoise + IB2025.12 | 0.8547 | |
| CMW-Net2022.11 | 0.847 | |
| GJS2022.11 | 0.8417 | |
| NCTBackbone=VGG-192022.07 | 0.841 | |
| NCT2022.11 | 0.841 | |
| DivdeMix2022.11 | 0.84 | |
| SIBCategory=Improved IB2025.12 | 0.8395 | |
| SELCBackbone=VGG-192022.07 | 0.837 | |
| PLCBackbone=VGG-192022.07 | 0.834 | |
| PLC2022.11 | 0.834 | |
| PLCPublication=ICLR 20212025.08 | 0.834 | |
| AdaptCDRPPublication=NeurIPS 20242025.08 | 0.8308 | |
| JAL-SEMPublication=Ours2025.08 | 0.827 | |
| IP EnsembleBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8235 | |
| LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8193 | |
| Self-TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8182 | |
| SELFIEBackbone=VGG-192022.07 | 0.818 | |
| SELFIE2022.11 | 0.818 | |
| SELFIEPublication=ICML 20192025.08 | 0.818 | |
| VIB (LGCE)Category=Robust Loss2025.12 | 0.8172 | |
| JAL*Publication=ICCV 20252025.08 | 0.8168 | |
| DataInfBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.816 | |
| CE-SEMPublication=Ours2025.08 | 0.8142 | |
| Self-LiSSABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8123 | |
| IPBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8119 | |
| EKFACBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8089 | |
| GEXBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8078 | |
| TDABackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8057 | |
| Cross EntropyBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8054 | |
| Co-teaching2022.11 | 0.802 | |
| Co-teachingPublication=NeurIPS 20182025.08 | 0.802 | |
| TracInBackbone=ResNet-34, Pre-trained=ImageNet-1K, Removal Ratio=5%2024.05 | 0.8012 | |
| CEBackbone=VGG-192022.07 | 0.794 | |
| Cross Entropy2022.11 | 0.794 | |
| CEPublication=N/A2025.08 | 0.794 | |
| DT-JSCCCategory=Improved IB2025.12 | 0.7898 | |
| VIB (LSCE)Category=Robust Loss2025.12 | 0.7717 | |
| VIBCategory=Classic IB2025.12 | 0.7628 | |
| NIBCategory=Classic IB2025.12 | 0.7562 | |
| JoCoR+VIBCategory=Denoise + IB2025.12 | 0.7545 | |
| RegMeanBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.6874 | |
| AdaMergingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.6655 | |
| Task ArithmeticBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.5114 | |
| Weight AveragingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.46 | |
| Ties-MergingBackbone=ViT-B/16, Pre-trained=ImageNet-21k, Number of Merged Models=302024.05 | 0.1913 |