Image Classification on ImageNet-21K
86.6Top-1 AccuracyNomMer-B
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NomMer-BResolution=384x384, #param. (M)=73, FLOPs (G)=56.22021.11 | 86.6 | — | |
| Swin-BResolution=384x384, #param. (M)=88, FLOPs (G)=47.12021.11 | 86.4 | — | |
| ViL-BResolution=384x384, #param. (M)=56, FLOPs (G)=43.72021.11 | 86.2 | — | |
| NomMer-BResolution=224x224, #param. (M)=73, FLOPs (G)=17.62021.11 | 85.5 | — | |
| Swin-BResolution=224x224, #param. (M)=88, FLOPs (G)=15.42021.11 | 85.2 | — | |
| R-101x3Resolution=384x384, #param. (M)=388, FLOPs (G)=204.62021.11 | 84.4 | — | |
| ViT-B/16Resolution=384x384, #param. (M)=86, FLOPs (G)=55.42021.11 | 84 | — | |
| Claude Opus 4.5Inference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 61.64 | 16.16 | |
| Claude Opus 4.5Inference Strategy=Baseline2026.05 | 45.48 | — | |
| GPT-4(v4.1)Inference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 45.1 | 8.74 | |
| Qwen3-VL-PlusInference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 42.2 | 31.64 | |
| Qwen2.5-VL-7BInference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 37.87 | 37.66 | |
| GPT-4(v4.1)Inference Strategy=Baseline2026.05 | 36.36 | — | |
| Qwen3-VL-4BInference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 34.41 | 33.45 | |
| Qwen3-VL-8BInference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 34.2 | 23.64 | |
| Kimi-K2.5Inference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 32.26 | 16.44 | |
| Qwen3-VL-2BInference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 19.29 | 18.81 | |
| Kimi-K2.5Inference Strategy=Baseline2026.05 | 15.82 | — | |
| LLaMA-4Inference Strategy=Divide-and-Conquer Inference (DCI), K=1002026.05 | 14.28 | 3.14 | |
| LLaMA-4Inference Strategy=Baseline2026.05 | 11.14 | — | |
| Qwen3-VL-PlusInference Strategy=Baseline2026.05 | 10.56 | — | |
| Qwen3-VL-8BInference Strategy=Baseline2026.05 | 10.56 | — | |
| Qwen3-VL-4BInference Strategy=Baseline2026.05 | 0.96 | — | |
| Qwen3-VL-2BInference Strategy=Baseline2026.05 | 0.48 | — | |
| Qwen2.5-VL-7BInference Strategy=Baseline2026.05 | 0.21 | — |