Object Recognition On Shape Bias
평가 지표
shape bias
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | shape bias |
|---|---|
| scaling-vision-transformers-to-22-billion | 86.4 |
| imagenet-trained-cnns-are-biased-towards | 22.1 |
| scaling-vision-transformers-to-22-billion | 83.8 |
| imagenet-trained-cnns-are-biased-towards | 31.2 |
| scaling-vision-transformers-to-22-billion | 78.0 |
| learning-transferable-visual-models-from | 79.9 |
| billion-scale-semi-supervised-learning-for | 28.6 |
| a-simple-framework-for-contrastive-learning | 40.7 |
| intriguing-properties-of-generative | 91.7 |
| imagenet-trained-cnns-are-biased-towards | 17.2 |
| intriguing-properties-of-generative | 92.7 |
| a-simple-framework-for-contrastive-learning | 38.9 |
| billion-scale-semi-supervised-learning-for | 49.8 |
| exploring-the-origins-and-prevalence-of | 62.2 |
| do-adversarially-robust-imagenet-models | 69.5 |
| a-simple-framework-for-contrastive-learning | 41.7 |
| intriguing-properties-of-generative | 98.7 |
| imagenet-trained-cnns-are-biased-towards | 42.9 |