Image Classification on CIFAR-100-LT Imbalance Ratio 100
0.903Top-1 AccGNM-PT
Evaluation Results
| Method | Links | |
|---|---|---|
| GNM-PTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 0.903 | |
| LPTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 0.891 | |
| VPTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 0.81 | |
| LIVTBackbone=ViT-B/16, Optimization Strategy (SAM)=false2024.10 | 0.582 | |
| SHIKEBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.563 | |
| ImbSAMBackbone=ResNet32, Optimization Strategy (SAM)=true2024.10 | 0.548 | |
| NCLBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.542 | |
| GML lossEpochs=400, Backbone=ResNet-322023.05 | 0.54 | |
| GML lossEpochs=200, Backbone=ResNet-322023.05 | 0.53 | |
| Difficulty-Net + LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.5296 | |
| Difficulty-Net + LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.5262 | |
| GPaCotrained in same setting=true2022.09 | 0.523 | |
| GPaCoBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.523 | |
| Difficulty-Net + Balanced SoftmaxTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.5214 | |
| Difficulty-Net + cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.5201 | |
| PaCoBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 0.52 | |
| PaCo + Balanced Softmax (copied)Training setting=e2e training, Backbone=ResNet-32, Source=Copied from original paper2022.09 | 0.52 | |
| PaCotrained in same setting=true2022.09 | 0.52 | |
| PaCoEpochs=400, Backbone=ResNet-322023.05 | 0.52 | |
| BCLEpochs=200, Backbone=ResNet-322023.05 | 0.519 | |
| BCLBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.519 | |
| BS + CMOBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 0.517 | |
| PaCo + Balanced SoftmaxTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.5147 | |
| BALMSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.5095 | |
| BSBackbone=ResNet-32, Training Epochs=400, Augmentation=AutoAugment [9]2021.12 | 0.508 | |
| Balanced Softmaxtrained in same setting=true2022.09 | 0.508 | |
| Balanced SoftmaxEpochs=400, Backbone=ResNet-322023.05 | 0.508 | |
| CCSAMBackbone=ResNet32, Optimization Strategy (SAM)=true2024.10 | 0.508 | |
| RIDEBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.504 | |
| RIDE (3 experts) + CMOBackbone=ResNet-32, CMO=true, Number of experts=32021.12 | 0.5 | |
| MWN + LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4912 | |
| LASTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4868 | |
| MWN + LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4865 | |
| RIDE (3 experts)Backbone=ResNet-32, CMO=false, Number of experts=32021.12 | 0.486 | |
| GCLBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.486 | |
| MWN + cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4834 | |
| ResLTEpochs=200, Backbone=ResNet-322023.05 | 0.482 | |
| LWSTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4813 | |
| cRTTraining setting=decoupled learning, Backbone=ResNet-322022.09 | 0.4804 | |
| MetaSAug-LDAMEpochs=200, Backbone=ResNet-322023.05 | 0.48 | |
| Difficulty-NetTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4796 | |
| DRO-LT (copied)Training setting=decoupled learning, Backbone=ResNet-32, Source=Copied from original paper2022.09 | 0.4731 | |
| PaCoTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4726 | |
| LDAM-DRW + CMOBackbone=ResNet-32, CMO=true2021.12 | 0.472 | |
| MISLASBackbone=ResNet-32, CMO=false2021.12 | 0.47 | |
| CE-DRW + CMOBackbone=ResNet-32, CMO=true2021.12 | 0.47 | |
| MISLAS2022.09 | 0.47 | |
| MISLASEpochs=400, Backbone=ResNet-322023.05 | 0.47 | |
| MisLASBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.47 | |
| Hybrid-SCEpochs=200, Backbone=ResNet-322023.05 | 0.467 | |
| BS + CMOBackbone=ResNet-32, CMO=true2021.12 | 0.466 | |
| EQLTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4647 | |
| CB-DATraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4624 | |
| LDAMTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4614 | |
| RemixBackbone=ResNet-32, CMO=false2021.12 | 0.458 | |
| LADE2020.12 | 0.454 | |
| LADEBackbone=ResNet-32, CMO=false2021.12 | 0.454 | |
| PC Softmax2020.12 | 0.453 | |
| ResLT2022.09 | 0.453 | |
| CDB-CETraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4525 | |
| Balanced Softmax2020.12 | 0.451 | |
| Balanced Softmax (BS)Backbone=ResNet-32, CMO=false2021.12 | 0.451 | |
| IB LossBackbone=ResNet-32, CMO=false2021.12 | 0.45 | |
| MWNTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4481 | |
| Class-BalancedTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4478 | |
| Causal Norm2020.12 | 0.441 | |
| Causal NormBackbone=ResNet-32, CMO=false2021.12 | 0.441 | |
| Causal Norm2022.09 | 0.441 | |
| Casual modelEpochs=200, Backbone=ResNet-322023.05 | 0.441 | |
| Focal LossTraining setting=e2e training, Backbone=ResNet-322022.09 | 0.4403 | |
| CE + CMOBackbone=ResNet-32, CMO=true2021.12 | 0.439 | |
| SSPEpochs=200, Backbone=ResNet-322023.05 | 0.434 | |
| BBN2020.12 | 0.426 | |
| BBNBackbone=ResNet-32, CMO=false2021.12 | 0.426 | |
| BBN2022.09 | 0.426 | |
| BBNEpochs=200, Backbone=ResNet-322023.05 | 0.426 | |
| BBNBackbone=ResNet32, Optimization Strategy (SAM)=false2024.10 | 0.426 | |
| LDAM2020.12 | 0.42 | |
| LDAM+DRW2022.09 | 0.42 | |
| LDAM-DRWEpochs=200, Backbone=ResNet-322023.05 | 0.42 | |
| LDAM-DRWBackbone=ResNet-32, CMO=false2021.12 | 0.417 | |
| CE-DRWBackbone=ResNet-32, CMO=false2021.12 | 0.411 | |
| Softmax2020.12 | 0.41 | |
| CB-FocalEpochs=200, Backbone=ResNet-322023.05 | 0.396 | |
| Cross Entropy (CE)Backbone=ResNet-32, CMO=false2021.12 | 0.386 | |
| Focal Loss2020.12 | 0.384 | |
| Focal Loss2022.09 | 0.384 | |
| Focal lossEpochs=200, Backbone=ResNet-322023.05 | 0.384 |