Semantic Segmentation On Gtav To Cityscapes 1
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | mIoU |
|---|---|
| pipa-pixel-and-patch-wise-self-supervised | 75.6 |
| hrda-context-aware-high-resolution-domain | 73.8 |
| procst-boosting-semantic-segmentation-using | 69.4 |
| g2l-a-global-to-local-alignment-method-for | 59.7 |
| cross-region-domain-adaptation-for-class | 58.6 |
| mic-masked-image-consistency-for-context | 75.9 |
| content-consistent-matching-for-domain | 49.9 |
| sepico-semantic-guided-pixel-contrast-for | 70.3 |
| smoothing-matters-momentum-transformer-for | 63.9 |
| learning-content-enhanced-mask-transformer | 55.3 |
| daformer-improving-network-architectures-and | 68.3 |
| prototypical-pseudo-label-denoising-and | 57.5 |