Visual Reasoning On Winogavil
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Jaccard Index
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이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Jaccard Index | Paper Title | Repository |
|---|---|---|---|
| CLIP-ViL (Zero-Shot) | 15 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| CLIP-RN50x64/14 (Zero-Shot) | 38 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| CLIP-ViT-L/14 (Zero-Shot) | 40 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| CLIP-ViT-B/32 (Zero-Shot) | 41 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| Humans | 90 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| ViLT (Zero-Shot) | 52 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| X-VLM (Zero-Shot) | 46 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
| CLIP-RN50 (Zero-Shot) | 35 | WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models | - |
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