ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning

Benchmark Model Rank Results
semi-supervised-semantic-segmentation-on-1ClassMix (DeepLab v2 MSCOCO pretrained)#26Validation mIoU: 63.63%
semi-supervised-semantic-segmentation-on-2ClassMix (DeepLab v2 MSCOCO pretrained)#28Validation mIoU: 61.35%
semi-supervised-semantic-segmentation-on-3ClassMix (DeepLab v2 MSCOCO pretrained)#11Validation mIoU: 54.07%
semi-supervised-semantic-segmentation-on-4ClassMix#28Validation mIoU: 71.00%
semi-supervised-semantic-segmentation-on-5ClassMix (DeepLab v2 MSCOCO pretrained)#8Validation mIoU: 67.77%
semi-supervised-semantic-segmentation-on-6ClassMix (DeepLab v2 MSCOCO pretrained)#6Validation mIoU: 66.15%
semi-supervised-semantic-segmentation-on-7ClassMix (DeepLab v2 MSCOCO pretrained)#5Validation mIoU: 54.18%
semi-supervised-semantic-segmentation-on-8ClassMix (DeepLab v2 MSCOCO pretrained)#21Validation mIoU: 66.29%
semi-supervised-semantic-segmentation-on-9ClassMix (DeepLab v2 MSCOCO pretrained)#23Validation mIoU: 72.45