Image Clustering On Imagenet
평가 지표
ARI
Accuracy
NMI
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | ARI | Accuracy | NMI |
|---|---|---|---|
| mim-refiner-a-contrastive-learning-boost-from | 42.2 | 67.3 | 87.2 |
| exploring-the-limits-of-deep-image-clustering | 45.9 | 58.0 | 81.4 |
| let-go-of-your-labels-with-unsupervised-1 | 62.5 | 72.9 | 88.2 |
| mim-refiner-a-contrastive-learning-boost-from | 45.5 | 64.6 | 85.3 |
| exploring-the-limits-of-deep-image-clustering | 48.4 | 61.6 | 82.5 |
| contrastive-tuning-a-little-help-to-make | - | 58.0 | 81.8 |
| learning-to-classify-images-without-labels | - | 39.9 | 72.0 |
| self-labelling-via-simultaneous-clustering-1 | - | - | 66.4 |
| stable-cluster-discrimination-for-deep-1 | 41.9 | 53.5 | 79.4 |
| stable-cluster-discrimination-for-deep-1 | 35.6 | 47.6 | 76.2 |
| exploring-a-principled-framework-for-deep | - | 65.0 | 83.4 |
| contrastive-tuning-a-little-help-to-make | - | 57.1 | 81.7 |