Multi Label Image Classification On
评估指标
mAP (micro)
official split
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | 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 |