Multi Label Image Classification On
평가 지표
mAP (micro)
official split
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | mAP (micro) | official split |
|---|---|---|
| self-supervised-learning-in-remote-sensing-a | 89.3 | No |
| in-domain-representation-learning-for-remote-1 | - | - |
| dino-mc-self-supervised-contrastive-learning | 88.75 | No |
| efficient-deep-learning-models-for-land-cover | - | Yes |
| ssl4eo-s12-a-large-scale-multi-modal-multi | 89.9 | No |
| ssl4eo-s12-a-large-scale-multi-modal-multi | 88.9 | No |
| efficient-deep-learning-models-for-land-cover | - | Yes |
| efficient-deep-learning-models-for-land-cover | - | Yes |
| ssl4eo-s12-a-large-scale-multi-modal-multi | 91.8 | No |
| efficient-deep-learning-models-for-land-cover | - | Yes |