Image Classification on Cifar100-LT exponential
60.18AccuracyMIMV (Sum)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MIMV (Sum)Backbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp, aggregation=Sum2025.09 | 60.18 | 62.24 | 56.75 | 61.5 | 2.42 | |
| MIMV (Concatenate)Backbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp, aggregation=Concatenate2025.09 | 58.89 | 61.54 | 56.18 | 58.94 | 2.19 | |
| FASSLBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 55.27 | 57.74 | 54.52 | 53.55 | 1.79 | |
| SDCLRBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 54.94 | 58.79 | 55.03 | 51 | 3.18 | |
| ByolBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 53.43 | 55.63 | 52.03 | 52.64 | 1.57 | |
| BCL-IBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 52.22 | 55.35 | 53.03 | 48.27 | 2.95 | |
| MoCoV2Backbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 46.37 | — | — | — | — | |
| VicRegBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 45.26 | 48.21 | 43.27 | 44.35 | 2.12 | |
| SimCLRBackbone=Resnet-18, Evaluation Protocol=Linear Evaluation, Imbalance Type=exp2025.09 | 44.85 | 47.81 | 41.48 | 44.17 | 2.59 |