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Semi Supervised Semantic Segmentation On 19
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | 59.98% | The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation | - |
| ClassMix (DeepLabv2 with ResNet101, MSCOCO pre-trained) | 58.77% | ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning | |
| S4GAN (DeepLabv2 with ResNet101, MSCOCO pre-trained) | 55.61% | Semi-Supervised Semantic Segmentation with High- and Low-level Consistency |
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