Image Classification on ImageNet (test) (Accuracy and Sparsity)
85.46AccuracyCFA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CFABase Model Mapping=CFA (Fused Model)2026.03 | 85.46 | — | |
| RegNetBase Model Mapping=C2026.03 | 85.02 | — | |
| LiTModel=LiT-g/14_288-L, Optimizer=Lion, Zero-shot=true2023.02 | 84.09 | — | |
| LiTModel=LiT-g/14_288-L, Optimizer=AdamW, Zero-shot=true2023.02 | 83.43 | — | |
| ConvNeXtBase Model Mapping=A2026.03 | 80.84 | — | |
| Swin-V2Base Model Mapping=D2026.03 | 79.32 | — | |
| ViTBase Model Mapping=E2026.03 | 79.25 | — | |
| EfficientNet-V2Base Model Mapping=B2026.03 | 78.87 | — | |
| CLIPZero-shot=true2023.02 | 76.2 | — | |
| BIPBackbone=ResNet-502022.10 | 76.09 | 74 | |
| IMPBackbone=ResNet-502022.10 | 76.05 | 80 | |
| AR-SGD baselineBatch size=128, #Workers=162023.06 | 75.5 | — | |
| LiTModel=LiT-B/16-B, Optimizer=Lion, Zero-shot=true2023.02 | 75.39 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=162023.06 | 75.3 | — | |
| AR-SGD baselineBatch size=128, #Workers=322023.06 | 75.2 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=162023.06 | 74.8 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=162023.06 | 74.8 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=162023.06 | 74.7 | — | |
| Async. baselineBatch size=128, Graph topology=Complete graph, #com/#grad=1, #Workers=162023.06 | 74.6 | — | |
| AR-SGD baselineBatch size=128, #Workers=642023.06 | 74.5 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=322023.06 | 74.4 | — | |
| LiTModel=LiT-B/16-B, Optimizer=AdamW, Zero-shot=true2023.02 | 74.26 | — | |
| Async. baselineBatch size=128, Graph topology=Complete graph, #com/#grad=1, #Workers=322023.06 | 73.8 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=322023.06 | 73.7 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=322023.06 | 73.4 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=322023.06 | 71.6 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=642023.06 | 71.4 | — | |
| Async. baselineBatch size=128, Graph topology=Complete graph, #com/#grad=1, #Workers=642023.06 | 71.3 | — | |
| IMPBackbone=ResNet-182022.10 | 71.15 | 74 | |
| BIPBackbone=ResNet-182022.10 | 70.95 | 83 | |
| LiTModel=LiT-B/32-B, Optimizer=Lion, Zero-shot=true2023.02 | 69.88 | — | |
| LiTModel=LiT-B/32-B, Optimizer=AdamW, Zero-shot=true2023.02 | 68.78 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=2, #Workers=642023.06 | 68.2 | — | |
| A2CiD2Batch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=642023.06 | 68 | — | |
| Async. baselineBatch size=128, Graph topology=Ring graph, #com/#grad=1, #Workers=642023.06 | 64.1 | — |