Semantic Segmentation on PASCAL VOC augmented (val)
81.46mIoUAugSeg
Evaluation results
| Method | Links | |
|---|---|---|
| AugSegBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=U2PL2022.12 | 81.46 | |
| AugSegBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=U2PL2022.12 | 80.5 | |
| U2PLBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=U2PL2022.12 | 79.3 | |
| OursModel=Xception-65, Evaluation protocol=Semi-supervised (1.4k/9k), Crop size=513x513, Testing scale=single-scale2021.04 | 79.3 | |
| AugSegBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=U2PL2022.12 | 79.29 | |
| Fully supervisedModel=Xception-65, Evaluation protocol=Fully supervised, Crop size=513x513, Testing scale=single-scale2021.04 | 79.2 | |
| U2PLBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=U2PL2022.12 | 79.01 | |
| AugSegBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 78.82 | |
| PS-MTBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 78.72 | |
| Fully supervisedModel=ResNet-101, Evaluation protocol=Fully supervised, Crop size=513x513, Testing scale=single-scale2021.04 | 78.3 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=U2PL2022.12 | 78.27 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=U2PL2022.12 | 78.24 | |
| PS-MTBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 78.2 | |
| CPS w/ CutMixBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 77.68 | |
| CPSBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 77.55 | |
| U2PLBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=U2PL, Note=reproduced2022.12 | 77.51 | |
| U2PLBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=U2PL, Note=reproduced2022.12 | 77.44 | |
| AugSegBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 77.31 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=U2PL2022.12 | 77.28 | |
| U2PLBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=U2PL2022.12 | 77.21 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 77.16 | |
| AugSegBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 77.01 | |
| MTBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 76.62 | |
| ST++Backbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 76.6 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=U2PL2022.12 | 76.47 | |
| CPS w/ CutMixBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 76.44 | |
| PS-MTBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 76.43 | |
| ST++Backbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 76.3 | |
| CCTBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 76.17 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 75.99 | |
| CPSBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 75.83 | |
| PS-MTBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 75.7 | |
| PS-MTBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 75.5 | |
| ST++Backbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 75.4 | |
| GCTBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 75.25 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 75.04 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=U2PL2022.12 | 75.02 | |
| OursModel=ResNet-101, Evaluation protocol=Semi-supervised (1.4k/9k), Crop size=513x513, Testing scale=single-scale2021.04 | 75 | |
| CPS w/ CutMixBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 74.9 | |
| U2PLBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=U2PL, Note=reproduced2022.12 | 74.74 | |
| AugSegBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 74.66 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=U2PL2022.12 | 74.53 | |
| ST++Backbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 74.5 | |
| CPS w/ CutMixBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 74.48 | |
| ST++Backbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 74.4 | |
| CPSBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 74.24 | |
| CPS w/ CutMixBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 73.67 | |
| GCTBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 73.45 | |
| CCTBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 73.43 | |
| GCTBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 73.3 | |
| MTBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 73.22 | |
| s4GAN+MLMTLabeled samples=All (10582), Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 73.2 | |
| CPSBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 73.2 | |
| MTBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 73.2 | |
| PseudoSegModel=ResNet-101, Evaluation protocol=Semi-supervised (1.4k/9k)2021.04 | 73.2 | |
| CCTBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 73 | |
| PS-MTBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 72.83 | |
| ST++Backbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 72.6 | |
| BaselineLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 72.59 | |
| CutMixLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 72.54 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/4 (2646), Data Split=CPS2022.12 | 72.46 | |
| Std. augmentationLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 72.24 | |
| VATLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 72.18 | |
| CPSBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 72.18 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 72.13 | |
| CutOutLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 72.03 | |
| CPS w/ CutMixBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 71.98 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=U2PL2022.12 | 71.91 | |
| ICTLabeled samples=All (10582), Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 71.5 | |
| AdversarialLabeled samples=All (10582), Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 71.4 | |
| CCTBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 70.87 | |
| MTBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 70.78 | |
| BaselineLabeled samples=All (10582), Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 70.7 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=U2PL2022.12 | 70.63 | |
| MTBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 70.59 | |
| GCTBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 70.47 | |
| GCTBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 69.77 | |
| CCTModel=ResNet-50, Evaluation protocol=Semi-supervised (1.4k/9k)2021.04 | 69.4 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/8 (1323), Data Split=CPS2022.12 | 68.49 | |
| AdvSemSegModel=ResNet-101, Evaluation protocol=Semi-supervised (1.4k/9k)2021.04 | 68.4 | |
| CPSBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 68.21 | |
| CCTBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 67.94 | |
| SupervisedBackbone=ResNet-101, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 67.76 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=U2PL2022.12 | 67.66 | |
| CutMixLabeled samples=1/8, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 67.6 | |
| s4GAN+MLMTLabeled samples=1/8, Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 67.3 | |
| CutOutLabeled samples=1/8, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 66.79 | |
| MTBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 66.77 | |
| CutMixLabeled samples=1/20, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 66.48 | |
| CCTBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 65.22 | |
| CutMixLabeled samples=1/50, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 64.81 | |
| CutOutLabeled samples=1/20, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 64.37 | |
| AdversarialLabeled samples=1/8, Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 64.3 | |
| GANSegModel=VGG16, Evaluation protocol=Semi-supervised (1.4k/9k)2021.04 | 64.1 | |
| GCTBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 64.05 | |
| SupervisedBackbone=ResNet-50, Partition protocol=1/16 (662), Data Split=CPS2022.12 | 63.72 | |
| VATLabeled samples=1/8, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 62.93 | |
| s4GAN+MLMTLabeled samples=1/20, Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 62.9 | |
| BaselineLabeled samples=1/8, Source=Results from [18, 28], Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 62 | |
| Std. augmentationLabeled samples=1/8, Source=Our results, Backbone=DeepLab v2, Pre-training=ImageNet2019.06 | 60.66 |