| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| POPE GQA 2019 (Random) | ICT | Accuracy89.3 | 15 | 3d ago | |
| POPE A-OKVQA Popular 2022 | SchroMind | Accuracy85.63 | 15 | 3d ago | |
| POPE A-OKVQA 2022 (Adversarial) | VCD | Accuracy80.13 | 11 | 3d ago | |
| POPE GQA 2019 (Adversarial) | AVISC | Accuracy73.07 | 8 | 3d ago | |
| POPE GQA Popular 2019 | AVISC | Accuracy78 | 8 | 3d ago | |
| POPE A-OKVQA Random 2022 | AVISC | Accuracy88.47 | 8 | 3d ago | |
| POPE MS-COCO 2014 (Random) | AVISC | Accuracy88.73 | 8 | 3d ago |
