Image Classification on iNaturalist 2018 (natural world distribution)
0.756Acc (Total)MDCS
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MDCSEpochs=400, RandAugment=true2023.08 | 0.756 | 0.765 | 0.755 | 0.752 | |
| ResComBackbone=ResNet-502022.03 | 0.752 | 0.716 | 0.75 | 0.756 | |
| NCLEpochs=400, RandAugment=true2023.08 | 0.749 | 0.727 | 0.756 | 0.745 | |
| SADEEpochs=400, RandAugment=true2023.08 | 0.745 | 0.755 | 0.737 | 0.751 | |
| DiVEBackbone=ResNet-50, Number of experts=42022.03 | 0.734 | — | — | — | |
| PaCoBackbone=ResNet-502022.03 | 0.732 | 0.703 | 0.732 | 0.736 | |
| RIDEEpochs=200, RandAugment=false2023.08 | 0.732 | 0.705 | 0.737 | 0.733 | |
| PaCoEpochs=400, RandAugment=true2023.08 | 0.732 | 0.703 | 0.732 | 0.736 | |
| SADEEpochs=200, RandAugment=false2023.08 | 0.729 | 0.745 | 0.725 | 0.73 | |
| ACEEpochs=400, RandAugment=false2023.08 | 0.729 | — | — | — | |
| RIDEBackbone=ResNet-50, Number of experts=42022.03 | 0.726 | 0.709 | 0.724 | 0.731 | |
| MDCSEpochs=100, RandAugment=true2023.08 | 0.725 | 0.718 | 0.731 | 0.724 | |
| BCLEpochs=100, RandAugment=true2023.08 | 0.718 | — | — | — | |
| BSCEEpochs=400, RandAugment=true2023.08 | 0.718 | 0.723 | 0.726 | 0.717 | |
| ACEBackbone=ResNet-1522019.10 | 0.717 | 0.692 | 0.708 | 0.727 | |
| MISLASBackbone=ResNet-502022.03 | 0.716 | 0.704 | 0.724 | 0.732 | |
| SSDBackbone=ResNet-502022.03 | 0.715 | — | — | — | |
| GistNetBackbone=ResNet-502022.03 | 0.708 | — | — | — | |
| DisAlignBackbone=ResNet-502022.03 | 0.706 | — | — | — | |
| RSGBackbone=ResNet-502022.03 | 0.703 | — | — | — | |
| LADEBackbone=ResNet-502022.03 | 0.7 | — | — | — | |
| ELFBackbone=ResNet-502022.03 | 0.698 | 0.727 | 0.704 | 0.683 | |
| LWSBackbone=ResNet-1522019.10 | 0.691 | 0.694 | 0.695 | 0.686 | |
| cRTBackbone=ResNet-1522019.10 | 0.685 | 0.736 | 0.693 | 0.663 | |
| ACEBackbone=ResNet-502019.10 | 0.683 | 0.666 | 0.68 | 0.682 | |
| SSPBackbone=ResNet-502019.10 | 0.681 | — | — | — | |
| BBNBackbone=ResNet-502019.10 | 0.663 | — | — | — | |
| BBNEpochs=100, RandAugment=false2023.08 | 0.663 | 0.494 | 0.708 | 0.653 | |
| LWSBackbone=ResNet-502019.10 | 0.659 | 0.65 | 0.663 | 0.655 | |
| PCBackbone=ResNet-152, implementation=re-implemented2019.10 | 0.659 | 0.721 | 0.672 | 0.613 | |
| cRTBackbone=ResNet-502019.10 | 0.652 | 0.69 | 0.66 | 0.632 | |
| τ-normEpochs=100, RandAugment=false2023.08 | 0.652 | 0.656 | 0.653 | 0.659 | |
| BaselineBackbone=ResNet-1522019.10 | 0.65 | 0.752 | 0.663 | 0.607 | |
| LDAM-DRWBackbone=ResNet-50, implementation=author's code2019.10 | 0.646 | — | — | — | |
| PCBackbone=ResNet-50, implementation=re-implemented2019.10 | 0.621 | 0.709 | 0.646 | 0.596 | |
| NCMBackbone=ResNet-1522019.10 | 0.619 | 0.593 | 0.619 | 0.626 | |
| BaselineBackbone=ResNet-502019.10 | 0.617 | 0.722 | 0.63 | 0.572 | |
| NCMBackbone=ResNet-502019.10 | 0.582 | 0.555 | 0.579 | 0.593 | |
| CEEpochs=200, RandAugment=false2023.08 | 0.482 | 0.681 | 0.415 | 0.14 |