DMT: Dynamic Mutual Training for Semi-Supervised Learning

Benchmark Model Rank Results
semi-supervised-image-classification-on-cifar-10-4000-labelsDMT (WRN-28-2)#18Percentage error: 5.79
semi-supervised-semantic-segmentation-on-cityscapes-100-samples-labeledDMT (DeepLab v2 MSCOCO/ImageNet pre-trained)#10Validation mIoU: 54.80%
semi-supervised-semantic-segmentation-on-cityscapes-12-5-labeledDMT (DeepLab v2 MSCOCO/ImageNet pre-trained)#27Validation mIoU: 63.03%
semi-supervised-semantic-segmentation-on-pascal-voc-2012-1-labeledDMT (DeepLab v2 MSCOCO pre-trained)#3Validation mIoU: 63.04%
semi-supervised-semantic-segmentation-on-pascal-voc-2012-12-5-labeledDMT#24Validation mIoU: 72.70%
semi-supervised-semantic-segmentation-on-pascal-voc-2012-1464-labelsDMT (DeepLab v2, ResNet-50)#16Validation mIoU: 74.85
semi-supervised-semantic-segmentation-on-pascal-voc-2012-2-labeledDMT (DeepLab v2 MSCOCO pre-trained)#3Validation mIoU: 67.15%
semi-supervised-semantic-segmentation-on-pascal-voc-2012-5-labeledDMT (DeepLab v2 MSCOCO/ImageNet pre-trained)#5Validation mIoU: 69.92%