Fine-Grained Visual Recognition on Open-world FGVR Total (All)
74.8Average AccuracyFine-R1-7B
Evaluation results
| Method | Links | |
|---|---|---|
| Fine-R1-7BModel Category=Reasoning MLLMs, shots=4-shot2026.02 | 74.8 | |
| Fine-R1-3BModel Category=Reasoning MLLMs, shots=4-shot2026.02 | 67.32 | |
| Fine-R1-7BModel Type=Reasoning MLLM2026.02 | 60.61 | |
| Fine-R1-3BModel Type=Reasoning MLLM2026.02 | 54.9 | |
| Qwen2-VL-7BModel Category=General MLLMs2026.02 | 51.5 | |
| Qwen2.5-VL-7BModel Category=General MLLMs2026.02 | 51.05 | |
| Qwen2.5-VL-3BModel Category=General MLLMs2026.02 | 50.91 | |
| DeepPerception-7BModel Type=Reasoning MLLM2026.02 | 47.24 | |
| Qwen2.5-VL-7BModel Type=General MLLM2026.02 | 46.17 | |
| Qwen2-VL-2BModel Category=General MLLMs2026.02 | 43.82 | |
| DeepPerception-7BModel Category=Reasoning MLLMs2026.02 | 43.82 | |
| Qwen2-VL-7BModel Type=General MLLM2026.02 | 39.49 | |
| Qwen2.5-VL-3BModel Type=General MLLM2026.02 | 36.03 | |
| Qwen2-VL-2BModel Type=General MLLM2026.02 | 29.79 | |
| InternVL2.5-8BModel Category=General MLLMs2026.02 | 24.75 | |
| InternVL2.5-4BModel Category=General MLLMs2026.02 | 24.45 | |
| Idefics3-LLaMA3-8BModel Category=General MLLMs2026.02 | 23.79 | |
| LLaVA-Onevision-7BModel Category=General MLLMs2026.02 | 22.87 | |
| InternVL2.5-2BModel Category=General MLLMs2026.02 | 20.29 | |
| Idefics2-8BModel Type=General MLLM2026.02 | 14.16 | |
| LLaVA-v1.6-mistral-7BModel Category=General MLLMs2026.02 | 13.57 | |
| InternVL2.5-8BModel Type=General MLLM2026.02 | 12.92 | |
| LLaVA-Onevision-7BModel Type=General MLLM2026.02 | 12.46 | |
| InternVL2.5-4BModel Type=General MLLM2026.02 | 11.96 | |
| Idefics2-8BModel Category=General MLLMs2026.02 | 10.72 | |
| InternVL2.5-2BModel Type=General MLLM2026.02 | 10.1 | |
| LLaVA-v1.6-mistral-7BModel Type=General MLLM2026.02 | 8.44 | |
| Idefics3-LLaMA3-8BModel Type=General MLLM2026.02 | 7.98 |