Remote Sensing Visual Question Answering on RSIVQA (unified)
93.1Yes/No AccuracyGRASP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GRASPTrainable Parameters (M)=4.25, Category=Prompt-based tuning methods2026.01 | 93.1 | 61.5 | 89 | 81.2 | |
| LoRATrainable Parameters (M)=50.1, Category=Additive parameter tuning methods2026.01 | 92 | 60.9 | 89.2 | 80.7 | |
| DoRATrainable Parameters (M)=50.2, Category=Additive parameter tuning methods2026.01 | 91.7 | 61.1 | 89 | 80.6 | |
| VPTTrainable Parameters (M)=6.70, Category=Prompt-based tuning methods2026.01 | 91.2 | 61.2 | 81.4 | 77.9 | |
| AdapterTrainable Parameters (M)=16.7, Category=Additive parameter tuning methods2026.01 | 90.5 | 58 | 82.8 | 77.1 | |
| APromptTrainable Parameters (M)=16.1, Category=Prompt-based tuning methods2026.01 | 90.4 | 51.6 | 77.4 | 73.1 | |
| Prompt TuningTrainable Parameters (M)=0.41, Category=Prompt-based tuning methods2026.01 | 89.3 | 50.2 | 75.1 | 71.5 | |
| Qwen2.5-VL (Base)2026.01 | 87.3 | 43.8 | 38.7 | 56.6 |