Image Classification on ImageNet-200 (Top-1 and Top-5 Accuracy)
68.9Top-1 AccCLOP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLOPtraining_condition=imbalanced-class training2025.11 | 68.9 | 89.8 | |
| SimMatchV2training_condition=imbalanced-class training2025.11 | 65.9 | 84.6 | |
| CCSSLtraining_condition=imbalanced-class training2025.11 | 63.1 | 88.9 | |
| FixMatchtraining_condition=imbalanced-class training2025.11 | 62.1 | 75.9 | |
| SsCLtraining_condition=imbalanced-class training2025.11 | 58.5 | 73.3 | |
| SimMatchtraining_condition=imbalanced-class training2025.11 | 52.7 | 76.8 | |
| SupContraining_condition=imbalanced-class training2025.11 | 50.5 | 74.9 | |
| ShuffleNet + RFCAConv(r)FLOPS(G)=18.11, Param(M)=1.382023.04 | 43.68 | 69.64 | |
| ShuffleNetFLOPS(G)=12.22, Param(M)=1.112023.04 | 42.23 | 68.66 | |
| FasterNet + RFCAConv(r)FLOPS(G)=161.58, Param(M)=14.122023.04 | 41.84 | 68.17 | |
| FasterNetFLOPS(G)=157.53, Param(M)=13.962023.04 | 41.28 | 67.88 | |
| MobileNet + RFCAConv(r)FLOPS(G)=5.48, Param(M)=0.722023.04 | 40.28 | 67.78 | |
| MobileNetFLOPS(G)=2.79, Param(M)=0.612023.04 | 36.26 | 63.56 | |
| InceptionNeXt + RFCAConvFLOPS(G)=690.98, Param(M)=47.732023.04 | 28.03 | 55 | |
| InceptionNeXtFLOPS(G)=685.42, Param(M)=47.522023.04 | 20.26 | 45.01 |