Classification on Pets (AURC)
0.221AURCLYP
Evaluation results
| Method | Links | |
|---|---|---|
| LYP2026.01 | 0.221 | |
| ReCoVERR2026.01 | 0.216 | |
| GenEval2026.01 | 0.213 | |
| SeeTRUE2026.01 | 0.213 | |
| SeeTRUE2026.01 | 0.213 | |
| PAPSP-SModel Scale=Small, Memory Augmentation=false2026.01 | 0.211 | |
| Aesthetics2026.01 | 0.211 | |
| PAPSPsize=S2026.01 | 0.211 | |
| PAPSPBackbone=SigLIP B/162026.01 | 0.211 | |
| VQAScore2026.01 | 0.207 | |
| VQAScore2026.01 | 0.207 | |
| MA-PAPSP-SModel Scale=Small, Memory Augmentation=true2026.01 | 0.171 | |
| MA-PAPSPsize=S2026.01 | 0.171 | |
| MA-PAPSPBackbone=SigLIP B/162026.01 | 0.171 | |
| PAPSP-LModel Scale=Large, Memory Augmentation=false2026.01 | 0.169 | |
| PAPSPsize=L2026.01 | 0.169 | |
| PAPSPBackbone=SigLIP SO-400M2026.01 | 0.169 | |
| Qwen-VL-7BMethod Setup=LVLM-PAPSP, Backbone Model=Qwen-VL-7B2026.01 | 0.126 | |
| Qwen-VL-72BMethod Setup=LVLM-PAPSP, Backbone Model=Qwen-VL-72B2026.01 | 0.12 | |
| MA-PAPSP-LModel Scale=Large, Memory Augmentation=true2026.01 | 0.114 | |
| MA-PAPSPMethod Setup=MA-PAPSP, Backbone Model=SigLIP SO-400M2026.01 | 0.114 | |
| MA-PAPSPsize=L2026.01 | 0.114 | |
| MA-PAPSPBackbone=SigLIP SO-400M2026.01 | 0.114 |