Visual Question Answering on RSFG-VQA
0.6785Avg@5RS-EoT-7B
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RS-EoT-7BBase Model=Qwen2.5-VL-7B2025.11 | 0.6785 | 0.689 | 0.8528 | |
| Qwen2.5VLBase Model=Qwen2.5-VL-7B2025.11 | 0.6245 | 0.6246 | 0.7716 | |
| MM-EBase Model=Qwen2.5-VL-7B2025.11 | 0.6098 | 0.6082 | 0.7122 | |
| VL-RBase Model=Qwen2.5-VL-7B2025.11 | 0.588 | 0.5788 | 0.7637 | |
| VLAA-TBase Model=Qwen2.5-VL-7B2025.11 | 0.5572 | 0.3787 | 0.7788 | |
| WeThinkBase Model=Qwen2.5-VL-7B2025.11 | 0.5504 | 0.4107 | 0.6143 | |
| VHM-RL2025.11 | 0.5304 | 0.5106 | 0.6156 | |
| R1-OVBase Model=Qwen2.5-VL-7B2025.11 | 0.477 | 0.48 | 0.7766 | |
| Geo-R12025.11 | 0.4503 | 0.3976 | 0.7196 | |
| Vis-R1Base Model=Qwen2.5-VL-7B2025.11 | 0.3995 | 0.4194 | 0.5781 |