task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | UniMatch (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 80.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | SemiOVS (w/ UniMatch, ResNet-50) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 78.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 78.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 78.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 78.41 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 77.20 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | LogicDiag (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 76.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 75.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 75.21 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | U2PL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 69.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | CPS (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 67.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 67.02 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (1% Labels) | 61.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (10% Labels) | 63.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (20% Labels) | 64.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (50% Labels) | 64.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (0.5% Labels) | 52.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (2% Labels) | 62.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (5% Labels) | 62.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (0.5% Labels) | 47.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (2% Labels) | 59.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (5% Labels) | 61.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (CENet, Range view) | https://arxiv.org/abs/2410.06893v1 | mIoU (1% Labels) | 51.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (CENet, Range view) | https://arxiv.org/abs/2410.06893v1 | mIoU (0.5% Labels) | 46.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (CENet, Range view) | https://arxiv.org/abs/2410.06893v1 | mIoU (2% Labels) | 54.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | PLE (CENet, Range view) | https://arxiv.org/abs/2410.06893v1 | mIoU (5% Labels) | 58.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All) | https://arxiv.org/abs/2309.06197v1 | mIoU (1% Labels) | 59.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All) | https://arxiv.org/abs/2309.06197v1 | mIoU (10% Labels) | 62.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All) | https://arxiv.org/abs/2309.06197v1 | mIoU (20% Labels) | 64.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All) | https://arxiv.org/abs/2309.06197v1 | mIoU (50% Labels) | 66.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | 360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All) | https://arxiv.org/abs/2309.06197v1 | mIOU (1% Test set) | 57.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | SAPCA (Cylinder3D) | https://arxiv.org/abs/2206.09664v1 | mIoU (1% Labels) | 50.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | SAPCA (Cylinder3D) | https://arxiv.org/abs/2206.09664v1 | mIoU (10% Labels) | 64.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | SAPCA (Cylinder3D) | https://arxiv.org/abs/2206.09664v1 | mIoU (50% Labels) | 64.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (1% Labels) | 50.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (10% Labels) | 60.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (20% Labels) | 61.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (50% Labels) | 62.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (1% Labels) | 45.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (10% Labels) | 57.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (20% Labels) | 59.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (50% Labels) | 60.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (1% Labels) | 43.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (10% Labels) | 58.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (20% Labels) | 59.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (50% Labels) | 61.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CBST (Range View) | http://openaccess.thecvf.com/content_ECCV_2018/html/Yang_Zou_Unsupervised_Domain_Adaptation_ECCV_2018_paper.html | mIoU (1% Labels) | 39.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CBST (Range View) | http://openaccess.thecvf.com/content_ECCV_2018/html/Yang_Zou_Unsupervised_Domain_Adaptation_ECCV_2018_paper.html | mIoU (10% Labels) | 53.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CBST (Range View) | http://openaccess.thecvf.com/content_ECCV_2018/html/Yang_Zou_Unsupervised_Domain_Adaptation_ECCV_2018_paper.html | mIoU (20% Labels) | 56.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CBST (Range View) | http://openaccess.thecvf.com/content_ECCV_2018/html/Yang_Zou_Unsupervised_Domain_Adaptation_ECCV_2018_paper.html | mIoU (50% Labels) | 56.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (1% Labels) | 37.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (10% Labels) | 53.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (20% Labels) | 56.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (50% Labels) | 57.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (1% Labels) | 37.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (10% Labels) | 54.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (20% Labels) | 56.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (50% Labels) | 57.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CPS (Range View) | https://arxiv.org/abs/2106.01226v2 | mIoU (1% Labels) | 36.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CPS (Range View) | https://arxiv.org/abs/2106.01226v2 | mIoU (10% Labels) | 52.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CPS (Range View) | https://arxiv.org/abs/2106.01226v2 | mIoU (20% Labels) | 56.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SemanticKITTI | CPS (Range View) | https://arxiv.org/abs/2106.01226v2 | mIoU (50% Labels) | 57.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 5% labeled | GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 59.98% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 5% labeled | ClassMix (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 58.77% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 5% labeled | S4GAN (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 55.61% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1000 labels | GuidedMix-Net(DeepLab v2 with ResNet50, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 68.1% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 331 labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 76.97 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (1% Labels) | 62.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (10% Labels) | 74.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (20% Labels) | 76 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (50% Labels) | 76.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (0.5% Labels) | 58 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (2% Labels) | 67.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | PLE (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (5% Labels) | 72.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (0.5% Labels) | 51.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (2% Labels) | 63.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2410.06893v1 | mIoU (5% Labels) | 69.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (1% Labels) | 55.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (10% Labels) | 69.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (20% Labels) | 71.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Voxel) | https://arxiv.org/abs/2207.00026v4 | mIoU (50% Labels) | 73.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (1% Labels) | 51.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (10% Labels) | 66.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (20% Labels) | 67.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Voxel) | http://arxiv.org/abs/1703.01780v6 | mIoU (50% Labels) | 71.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | Sup.-only (Voxel) | https://arxiv.org/abs/2011.10033v1 | mIoU (1% Labels) | 50.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | Sup.-only (Voxel) | https://arxiv.org/abs/2011.10033v1 | mIoU (10% Labels) | 65.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | Sup.-only (Voxel) | https://arxiv.org/abs/2011.10033v1 | mIoU (20% Labels) | 66.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | Sup.-only (Voxel) | https://arxiv.org/abs/2011.10033v1 | mIoU (50% Labels) | 71.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (1% Labels) | 49.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (10% Labels) | 68.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (20% Labels) | 70.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | LaserMix (Range View) | https://arxiv.org/abs/2207.00026v4 | mIoU (50% Labels) | 73.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (1% Labels) | 43.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (10% Labels) | 63.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (20% Labels) | 64.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | CutMix-Seg (Range View) | https://arxiv.org/abs/1906.01916v5 | mIoU (50% Labels) | 69.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (1% Labels) | 42.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (10% Labels) | 60.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | nuScenes | MeanTeacher (Range View) | http://arxiv.org/abs/1703.01780v6 | mIoU (20% Labels) | 65.4 |
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