Visual Question Answering Vqa On Infoseek
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PaLI-X | 24 | PaLI-X: On Scaling up a Multilingual Vision and Language Model | |
| BLIP2 | 14.6 | BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models | |
| InstructBLIP | 14.5 | - | - |
| CLIP + FiD | 20.9 | Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? | |
| CLIP + PaLM (540B) | 20.4 | Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? | |
| PaLI | 19.7 | Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? | |
| RA-VQAv2 w/ PreFLMR | 30.65 | PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers |
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