Domain Adaptation On Gta5 Synscapes To
Metrics
mIoU
Results
Performance results of various models on this benchmark
Model Name | mIoU | Paper Title | Repository |
---|---|---|---|
MSCL | 59.0 | Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation | - |
MDAN | 55.2 | Adversarial Multiple Source Domain Adaptation | - |
MRNet | 47.6 | Unsupervised Scene Adaptation with Memory Regularization in vivo | |
MRNet + Adaboost | 50.8 | Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation | |
MADAN | 55.7 | Multi-source Domain Adaptation for Semantic Segmentation |
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