Semantic Segmentation On Lip Val
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 |
|---|---|
| mutual-learning-to-adapt-for-joint-human | 49.30% |
| high-resolution-representations-for-labeling | 55.90% |
| object-contextual-representations-for | 58.2% |
| look-into-person-self-supervised-structure | 44.73% |
| hulk-a-universal-knowledge-translator-for | 63.98% |
| object-contextual-representations-for | 55.6% |
| look-into-person-joint-body-parsing-pose | 51.37% |
| unihcp-a-unified-model-for-human-centric | 63.86% |
| macro-micro-adversarial-network-for-human | 46.81% |
| devil-in-the-details-towards-accurate-single | 53.10% |
| object-contextual-representations-for | 56.65% |
| beyond-appearance-a-semantic-controllable | 60.50% |
| hulk-a-universal-knowledge-translator-for | 66.02% |