Semantic Segmentation on Cityscapes (val) (Per-Class IoU and mIoU)
81.1mIoUTrans4PASS-S
Evaluation results
| Method | Links | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Trans4PASS-SBackbone=Trans4PASS-S, Resolution=1024x5122022.03 | 81.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegFormer-B2Backbone=SegFormer-B2, Resolution=1024x5122022.03 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3+Backbone=ResNet-101, Resolution=1024x5122022.03 | 80.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OCRNetBackbone=HRNetV2p-W48, Resolution=1024x5122022.03 | 80.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DANetBackbone=ResNet-101, Resolution=1024x5122022.03 | 80.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DNLBackbone=ResNet-101, Resolution=1024x5122022.03 | 80.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/2 (1488), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 80.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/2 (1488), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 80.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNeStBackbone=ResNeSt-101, Resolution=1024x5122022.03 | 79.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SETR-PUPBackbone=Transformer-L, Resolution=1024x5122022.03 | 79.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/4 (744), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 79.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Trans4PASS-TBackbone=Trans4PASS-T, Resolution=1024x5122022.03 | 79.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/2 (1488), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 78.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/2 (1488), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 78.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PSPNetBackbone=ResNet-50, Resolution=1024x5122022.03 | 78.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OCRNetBackbone=HRNetV2p-W18, Resolution=1024x5122022.03 | 78.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-101, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 78.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-101, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 78.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegFormer-B1Backbone=SegFormer-B1, Resolution=1024x5122022.03 | 78.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-101, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 78.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SETR-NaiveBackbone=Transformer-L, Resolution=1024x5122022.03 | 77.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/4 (744), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 77.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/8 (372), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 77.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Lai et al.Architecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 77.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-50, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 77.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/4 (744), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 77.41 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SETR-MLABackbone=Transformer-L, Resolution=1024x5122022.03 | 77.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-50, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 77.09 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/4 (744), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 76.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-50, Partition Protocol=1/2 (1488), Meta-architecture=DeepLabv3+2021.06 | 76.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/8 (372), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 76.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-101, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 76.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-101, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 76.45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-101, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 76.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Semantic-FPNBackbone=ResNet-101, Resolution=1024x5122022.03 | 75.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/8 (372), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 75.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-50, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 75.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SwiftNetBackbone=ResNet-18, Resolution=1024x5122022.03 | 75.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-50, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 75.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Error-corrArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 74.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/16 (186), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 74.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-101, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 74.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-50, Partition Protocol=1/4 (744), Meta-architecture=DeepLabv3+2021.06 | 74.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/16 (186), CutMix Augmentation=true, Meta-architecture=DeepLabv3+2021.06 | 74.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/8 (372), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 74.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 74.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-101, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 73.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-101, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 72.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Lai et al.Architecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 72.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-50, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 72.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ERFNetBackbone=ERFNet, Resolution=1024x5122022.03 | 72.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-50, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 72.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 71.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-50, Partition Protocol=1/8 (372), Meta-architecture=DeepLabv3+2021.06 | 71.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FANetBackbone=ResNet-34, Resolution=1024x5122022.03 | 71.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Error-corrArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 70.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-101, Partition Protocol=1/16 (186), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 70.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 70.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CPSBackbone=ResNet-50, Partition Protocol=1/16 (186), CutMix Augmentation=false, Meta-architecture=DeepLabv3+2021.06 | 69.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Lai et al.Architecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 69.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-101, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 69.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Fast-SCNNBackbone=Fast-SCNN, Resolution=1024x5122022.03 | 69.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DMTArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet + COCO, Labeled Ratio=FS2021.04 | 68.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-101, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 68.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| French et al.Architecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 67.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Error-corrArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 67.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=FS2021.04 | 67.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-101, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CBCArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=FS2021.04 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdversarialArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=FS2021.04 | 66.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 66.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCTBackbone=ResNet-50, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 66.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ClassMixArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=FS2021.04 | 66.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTBackbone=ResNet-50, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 66.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| S4GANArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=FS2021.04 | 66 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/42021.04 | 65.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCTBackbone=ResNet-50, Partition Protocol=1/16 (186), Meta-architecture=DeepLabv3+2021.06 | 65.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv3+, Backbone=ResNet-50, Pre-training=ImageNet, Labeled Ratio=1/302021.04 | 64.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 64.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CBCArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/42021.04 | 64.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/82021.04 | 64.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| French et al.Architecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 63.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ClassMixArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/42021.04 | 63.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DMTArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet + COCO, Labeled Ratio=1/82021.04 | 63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdversarialArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/42021.04 | 62.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| S4GANArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/42021.04 | 61.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ClassMixArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/82021.04 | 61.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CBCArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/82021.04 | 60.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DDBBackbone=ResNet-101, Segmentation Head=DeepLabv2, Source Dataset=GTA52022.09 | 60.4 | 93.5 | 67.8 | 88.3 | 38.4 | 45.6 | 32.3 | 54.2 | 57.9 | 89.2 | 48.6 | 91.6 | 69.1 | 43.2 | 84.6 | 63.6 | 61.8 | 15.1 | 44.1 | 58.6 | — | |
| French et al.Architecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 60.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/302021.04 | 59.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| S4GANArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/82021.04 | 59.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdversarialArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/82021.04 | 58.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemiSeg-ContrastiveArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet, Labeled Ratio=1/302021.04 | 58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DMTArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=ImageNet + COCO, Labeled Ratio=1/302021.04 | 54.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IntraDABackbone=ResNet-101, Source Domain=Synscapes, Framework=AdaptSegNet [26]2020.04 | 54.2 | 94 | 60 | 84.9 | 29.5 | 26.2 | 38.5 | 41.6 | 43.7 | 85.3 | 31.7 | 88.2 | 66.3 | 44.7 | 85.7 | 30.7 | 53 | 29.5 | 36.5 | 60.2 | — | |
| ClassMixArchitecture=Deeplabv2, Backbone=ResNet-101, Pre-training=COCO, Labeled Ratio=1/302021.04 | 54.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AdaptSegNetBackbone=ResNet-101, Source Domain=Synscapes, Framework=AdaptSegNet [26]2020.04 | 52.7 | 94.2 | 60.9 | 85.1 | 29.1 | 25.2 | 38.6 | 43.9 | 40.8 | 85.2 | 29.7 | 88.2 | 64.4 | 40.6 | 85.8 | 31.5 | 43 | 28.3 | 30.5 | 56.7 | — | |
| DACSaverage_of_runs=32020.07 | 52.14 | 89.9 | 39.66 | 87.87 | 30.71 | 39.52 | 38.52 | 46.43 | 52.79 | 87.98 | 43.96 | 88.76 | 67.2 | 35.78 | 84.45 | 45.73 | 50.19 | 0 | 27.25 | 33.96 | — |