Image Classification on CIFAR-100-LT Imbalance Ratio 10
91.8Top-1 AccGNM-PT
Evaluation Results
| Method | Links | |
|---|---|---|
| GNM-PTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 91.8 | |
| LPTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 91 | |
| VPTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 89.6 | |
| LIVTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 69.2 | |
| GML lossEpochs=400, Backbone=ResNet-322023.05 | 67 | |
| GML lossEpochs=200, Backbone=ResNet-322023.05 | 65.7 | |
| Difficulty-Net + Balanced SoftmaxTraining setting=e2e training, Backbone=ResNet-322022.09 | 65.67 | |
| GPaCotrained in same setting=true2022.09 | 65.4 | |
| GPaCoBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 65.4 | |
| BS + CMOBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 65.3 | |
| Difficulty-Net + LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 65.22 | |
| Difficulty-Net + LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 65.08 | |
| BCLEpochs=200, Backbone=ResNet-322023.05 | 64.9 | |
| BCLBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 64.9 | |
| Difficulty-Net + cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 64.8 | |
| MWN + LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 64.24 | |
| PaCoBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 64.2 | |
| PaCo + Balanced Softmax (copied)Training setting=e2e training, Backbone=ResNet-32, Source=Copied from original paper2022.09 | 64.2 | |
| PaCotrained in same setting=true2022.09 | 64.2 | |
| PaCoEpochs=400, Backbone=ResNet-322023.05 | 64.2 | |
| LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 64.18 | |
| MWN + LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 64.15 | |
| PaCo + Balanced SoftmaxTraining setting=e2e training, Backbone=ResNet-322022.09 | 64.1 | |
| MWN + cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 63.99 | |
| LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 63.97 | |
| cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 63.74 | |
| Difficulty-NetTraining setting=e2e training, Backbone=ResNet-322022.09 | 63.52 | |
| DRO-LT (copied)Training setting=decoupled learning, Backbone=ResNet-32, Source=Copied from original paper2022.09 | 63.41 | |
| MISLASBackbone=ResNet-32, CMO=false2021.12 | 63.2 | |
| MISLAS2022.09 | 63.2 | |
| MISLASEpochs=400, Backbone=ResNet-322023.05 | 63.2 | |
| MisLASBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 63.2 | |
| PaCoTraining setting=e2e training, Backbone=ResNet-322022.09 | 63.12 | |
| BALMSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 63.1 | |
| Hybrid-SCEpochs=200, Backbone=ResNet-322023.05 | 63.1 | |
| BSBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 63 | |
| Balanced Softmaxtrained in same setting=true2022.09 | 63 | |
| Balanced SoftmaxEpochs=400, Backbone=ResNet-322023.05 | 63 | |
| BS + CMOBackbone=ResNet-32, CMO=true2021.12 | 62.3 | |
| CB-DATraining setting=e2e training, Backbone=ResNet-322022.09 | 62.16 | |
| LDAMTraining setting=e2e training, Backbone=ResNet-322022.09 | 62.08 | |
| ResLTEpochs=200, Backbone=ResNet-322023.05 | 62 | |
| LADE2020.12 | 61.7 | |
| LADEBackbone=ResNet-32, CMO=false2021.12 | 61.7 | |
| CE-DRW + CMOBackbone=ResNet-32, CMO=true2021.12 | 61.7 | |
| Balanced Softmax2020.12 | 61.6 | |
| Balanced Softmax (BS)Backbone=ResNet-32, CMO=false2021.12 | 61.6 | |
| CDB-CETraining setting=e2e training, Backbone=ResNet-322022.09 | 61.52 | |
| MWNTraining setting=e2e training, Backbone=ResNet-322022.09 | 61.44 | |
| MetaSAug-LDAMEpochs=200, Backbone=ResNet-322023.05 | 61.3 | |
| PC Softmax2020.12 | 61.2 | |
| Focal LossTraining setting=e2e training, Backbone=ResNet-322022.09 | 61.1 | |
| ResLT2022.09 | 60.8 | |
| RIDE (3 experts) + CMOBackbone=ResNet-32, CMO=true, Number of experts=32021.12 | 60.2 | |
| EQLTraining setting=e2e training, Backbone=ResNet-322022.09 | 60.13 | |
| Class-BalancedTraining setting=e2e training, Backbone=ResNet-322022.09 | 59.95 | |
| RIDE (3 experts)Backbone=ResNet-32, CMO=false, Number of experts=32021.12 | 59.8 | |
| ImbSAMBackbone=ResNet32, Optimization Strategy (SAM)=true2024.10 | 59.7 | |
| Causal Norm2020.12 | 59.6 | |
| Causal NormBackbone=ResNet-32, CMO=false2021.12 | 59.6 | |
| Causal Norm2022.09 | 59.6 | |
| Casual modelEpochs=200, Backbone=ResNet-322023.05 | 59.6 | |
| CE + CMOBackbone=ResNet-32, CMO=true2021.12 | 59.5 | |
| BBNBackbone=ResNet-32, CMO=false2021.12 | 59.2 | |
| RemixBackbone=ResNet-32, CMO=false2021.12 | 59.2 | |
| BBN2020.12 | 59.1 | |
| BBN2022.09 | 59.1 | |
| BBNEpochs=200, Backbone=ResNet-322023.05 | 59.1 | |
| BBNBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 59.1 | |
| Softmax2020.12 | 59 | |
| SSPEpochs=200, Backbone=ResNet-322023.05 | 58.9 | |
| LDAM2020.12 | 58.7 | |
| LDAM+DRW2022.09 | 58.7 | |
| LDAM-DRWEpochs=200, Backbone=ResNet-322023.05 | 58.7 | |
| LDAM-DRW + CMOBackbone=ResNet-32, CMO=true2021.12 | 58.4 | |
| IB LossBackbone=ResNet-32, CMO=false2021.12 | 58 | |
| CB-FocalEpochs=200, Backbone=ResNet-322023.05 | 58 | |
| CE-DRWBackbone=ResNet-32, CMO=false2021.12 | 57.9 | |
| LDAM-DRWBackbone=ResNet-32, CMO=false2021.12 | 57.3 | |
| Cross Entropy (CE)Backbone=ResNet-32, CMO=false2021.12 | 56.4 | |
| Focal Loss2020.12 | 55.8 | |
| Focal Loss2022.09 | 55.8 | |
| Focal lossEpochs=200, Backbone=ResNet-322023.05 | 55.8 |