Semantic Segmentation on PASCAL VOC 2012 (val)
94.7Mean IoUDaTaSeg
Evaluation results
| Method | Links | ||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DaTaSegBackbone=ViTDet-L2023.06 | 94.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 94.3 | 94.9 | — | — | — | — | |
| OTSeg+Source Dataset=COCO-156, Evaluation Setting=Transductive2024.03 | 94.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZegCLIPSource Dataset=COCO-156, Evaluation Setting=Transductive2024.03 | 94.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSegSource Dataset=COCO-156, Evaluation Setting=Transductive2024.03 | 94.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSegSource Dataset=COCO-156, Evaluation Setting=Inductive2024.03 | 94.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSeg+Source Dataset=COCO-156, Evaluation Setting=Inductive2024.03 | 94.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZegCLIPSource Dataset=COCO-156, Evaluation Setting=Inductive2024.03 | 93.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DaTaSegBackbone=ViTDet-B2023.06 | 92.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 90.9 | 93.4 | — | — | — | — | |
| OTSeg+Source Dataset=Context-49, Evaluation Setting=Transductive2024.03 | 92.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSegSource Dataset=Context-49, Evaluation Setting=Transductive2024.03 | 92.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZegCLIPSource Dataset=Context-49, Evaluation Setting=Transductive2024.03 | 90.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-L2 w/ Self-trainingPre-trained=ImageNet++, FLOPs=229B, Params=485M, Self-training=true2020.06 | 90 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DaTaSegBackbone=ResNet-502023.06 | 89.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 87.7 | 89.9 | — | — | — | — | |
| Eff-L2Pre-trained=ImageNet++, FLOPs=229B, Params=485M2020.06 | 88.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Fully-supervisedBackbone=DeepLabv2-ResNet1012023.06 | 88.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 87 | 88.6 | — | — | — | — | |
| DenseCLIP+Backbone=DeepLabv2-ResNet1012023.06 | 88.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 86.1 | 88.8 | — | — | — | — | |
| Reload-MambaBackbone=ResNet-101, COCO pre-training=true2026.06 | 87.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7 w/ Self-trainingPre-trained=ImageNet++, FLOPs=60B, Params=71M, Self-training=true2020.06 | 86.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ModuSegTrain status=Training-Free, Method category=Multi-stage2026.04 | 86.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ExFusePre-trained=ImageNet, COCO, multi-scale/flip ensembling=true2020.06 | 85.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SpineNet-SegBackbone=SpineNet-S143, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 85.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ExFuseBackbone=ResNeXt-131, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 85.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Eff-B7Pre-trained=ImageNet++, FLOPs=60B, Params=71M2020.06 | 85.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSeg+Source Dataset=Context-49, Evaluation Setting=Inductive2024.03 | 85.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SpineNet-SegBackbone=SpineNet-S96, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 85.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+Pre-trained=ImageNet, JFT, COCO, FLOPs=3055B, multi-scale/flip ensembling=true2020.06 | 84.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3+Feature Extractor=Xception-65, Fully Supervised Model (Backbone)=Xception-65, Supervision=F2020.11 | 84.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDNetstride=16s, multi-scale evaluation=true, fine-tuning=on standard training data2019.05 | 84.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ZegCLIPSource Dataset=Context-49, Evaluation Setting=Inductive2024.03 | 84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SpineNet-SegBackbone=SpineNet-S49, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 83.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+Pre-trained=ImageNet, JFT, COCO, FLOPs=177B2020.06 | 83.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SemPLeSBackbone=M2F-Swin-L2024.01 | 83.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Box2SegBackbone=ResNet-101, Supervision=Boxes (9K) with Masks (1K)2021.04 | 83.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-101 + DeepLabv3output_stride=8, ASPP=false, MF=true, Params=58.16M, MAdds=4870.6B, Pre-trained=COCO2018.01 | 82.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OTSegSource Dataset=Context-49, Evaluation Setting=Inductive2024.03 | 82.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3Backbone=ResNet-101, COCO pre-training=true2026.06 | 82.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FMA-WSSSBackbone=M2F-Swin-L2024.01 | 82.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegmenterBackbone=ViT-S, Supervision=Fully-supervised, Pre-trained Model=Improved ViT2023.04 | 82.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegmenterBackbone=ViT-S, Supervision Type=Full Supervision (F), Pre-training=Large-scale (e.g. ImageNet-21K)2023.04 | 82.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+Backbone=Xception-65, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 82.45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDNetstride=16s, multi-scale evaluation=true2019.05 | 82.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegSortBase=PSPNet, Backbone=ResNet-1012019.10 | 81.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 63.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WeCLIPBackbone=ViT-B, L. Params=5.7M2024.06 | 81.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniMatch + S4MCBackbone=ResNet-101, Partition protocol=Full (1464 images)2023.08 | 81.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ASMBase=PSPNet, Backbone=ResNet-1012019.10 | 81.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 62.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+2019.05 | 81.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCNBackbone=ResNet-GCN, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Prototype-based Consistency RegularizationTraining Setting=blender, Labeled Data Partition=1/2 (5291)2022.10 | 80.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDNetstride=16s2019.05 | 80.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LTFBackbone=ResNet101, Supervision=Full, Multi-stage=false, Alt. Opt.=false, Extra Data=false, CRF=true2022.03 | 80.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WideResNet-38Feature Extractor=WideResNet-38, Fully Supervised Model (Backbone)=WideResNet-38, Supervision=F2020.11 | 80.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WideResNet38Supervision=F, Backbone=WR382022.03 | 80.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WideResNet38Backbone=ResNet38, Supervision=Fully-supervised2023.04 | 80.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WideResNet38Backbone=ResNet38, Supervision Type=Full Supervision (F)2023.04 | 80.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Prototype-based Consistency RegularizationTraining Setting=blender, Labeled Data Partition=1/4 (2646)2022.10 | 80.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Auto-DeeplabBackbone=Auto-Deeplab-L, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 80.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Prototype-based Consistency RegularizationTraining Setting=blender, Labeled Data Partition=1/8 (1323)2022.10 | 80.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SDN2019.05 | 80.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Prototype-based Consistency RegularizationLabel Partition=Full (1464), Training Setting=Classic2022.10 | 80.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PCRBackbone=ResNet-101, Partition protocol=Full (1464 images)2023.08 | 80.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HyperSeg-LBackbone=EfficientNet-B32020.12 | 80.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 8.21 | 39.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FSSSBackbone=ResNet-101, Supervision=F2023.04 | 80.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HyperSeg-LBackbone=EfficientNet-B1, Params=33.6M, Flops=8.21G2023.10 | 80.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CutMix-Seg + S4MCBackbone=ResNet-101, Partition protocol=Full (1464 images)2023.08 | 80.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| U2PLTraining Setting=blender, Labeled Data Partition=1/2 (5291)2022.10 | 80.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-101 + DeepLabv3output_stride=16, ASPP=true, MF=false, Params=58.16M, MAdds=81.0B, Pre-trained=COCO2018.01 | 80.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DFNBackbone=ResNet-101, Pre-training=ImageNet + COCO, Inference scale=Single scale2021.03 | 80.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniMatchBackbone=ResNet-101, Partition protocol=Full (1464 images), reproduced=true2023.08 | 80.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DANetBackbone=ResNet-101, COCO pre-training=false2026.06 | 80.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3Backbone=MobileViTv2-2.0, Image Size=512x512, alpha=1.52022.06 | 80.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AELTraining Setting=blender, Labeled Data Partition=1/2 (5291)2022.10 | 80.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3-CPS-sv+CutMixBackbone=ResNet-101, Supervision ratio=1/2, Segmentation framework=DeepLabv3+2021.12 | 80.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3+Backbone=ResNet101, Supervision=Full, Multi-stage=false, Alt. Opt.=false, Extra Data=false, CRF=true2022.03 | 80.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PSPNetBackbone=MobileViTv2-1.75, Image Size=512x5122022.06 | 80.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SoftmaxBase=PSPNet, Backbone=ResNet-1012019.10 | 80.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniMatch + S4MCBackbone=ResNet-101, Partition protocol=1/2 (732 images)2023.08 | 80.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3-CPS-mc+CutMixBackbone=ResNet-101, Supervision ratio=1/2, Segmentation framework=DeepLabv3+2021.12 | 80.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3-CPS-svBackbone=ResNet-101, Supervision ratio=1/2, Segmentation framework=DeepLabv3+2021.12 | 80.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+Pre-trained=ImageNet, FLOPs=177B2020.06 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3+Backbone=Xception-712020.12 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 177 | 43.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PS-MTBackbone=ResNet-101, Partition protocol=Full (1464 images)2023.08 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3PlusBackbone=Xception-71, Params=43.48M, Flops=177G2023.10 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FixMatchBackbone=ResNet-101, Partition protocol=Full (1464 images), reproduced=true2023.08 | 79.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SDNBackbone=DenseNet-1612020.12 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 238.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| 3-CPS-mcBackbone=ResNet-101, Supervision ratio=1/2, Segmentation framework=DeepLabv3+2021.12 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabV3Backbone=ResNet101, L. Params=58M2024.06 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniMatchBackbone=ResNet-101, Partition protocol=1/2 (732 images), reproduced=true2023.08 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SDNBackbone=DenseNet-161, Params=238.5M2023.10 | 79.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv3+Backbone=ResNet-50, COCO pre-training=false2026.06 | 79.84 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv32019.05 | 79.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PS-MTBackbone=ResNet-101, Partition Protocol=1/2 (5291), Architecture=DeepLabV3+2021.11 | 79.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DFNBackbone=ResNet-1012020.12 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DFNBackbone=ResNet-1012023.10 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegmenterBackbone=DeiT-S, Supervision=Fully-supervised2023.04 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SegmenterBackbone=DeiT-S, Supervision Type=Full Supervision (F)2023.04 | 79.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MoCo-v2Pre-training=MoCo-v2, Fine-tuning=Core-tuning, Framework=DeepLab-V3, Backbone=ResNet-502021.02 | 79.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 88.76 | — | — | — | — | — | — | — | — | — | 90.75 | — | — | — | — | — | — | — | — | — | |
| FixMatch + S4MCBackbone=ResNet-101, Partition protocol=Full (1464 images)2023.08 | 79.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| P2AT-MBackbone=ResNet-34, Params=41.7M, Flops=37.5G2023.10 | 79.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UCCBackbone=ResNet-101, Partition protocol=1/2 (5291), Base model=DeepLabv3+2022.05 | 79.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSRTrain status=Required, Method category=Single-stage2026.04 | 79.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |