Overlapped 100 5 On Ade20K
评估指标
mIoU
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 | mIoU |
|---|---|
| mitigating-background-shift-in-class | 42.8 |
| ssul-semantic-segmentation-with-unknown-label | 34.56 |
| incremental-learning-techniques-for-semantic | 0.5 |
| plop-learning-without-forgetting-for | 25.96 |
| ssul-semantic-segmentation-with-unknown-label | 32.48 |
| attribution-aware-weight-transfer-a-warm | 31.1 |
| representation-compensation-networks-for | 29.6 |
| plop-learning-without-forgetting-for | 28.75 |