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 | COCO 1/256 labeled | PC2Seg | https://arxiv.org/abs/2108.09025v1 | Validation mIoU | 37.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/256 labeled | PseuodSeg | https://arxiv.org/abs/2010.09713v2 | Validation mIoU | 37.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Stanford 2D-3D | M3L (Linear Fusion - Segformer B2) | https://arxiv.org/abs/2304.10756v1 | mIoU (0.1% labels) | 44.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Stanford 2D-3D | M3L (Linear Fusion - Segformer B2) | https://arxiv.org/abs/2304.10756v1 | MM-Robust mIoU (0.1% labels) | 41.36 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Stanford 2D-3D | Mean Teacher (Linear Fusion - Segformer B2) | https://arxiv.org/abs/2304.10756v1 | mIoU (0.1% labels) | 41.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 84.5% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 80.3% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 80.1% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | FARCLUSS | https://arxiv.org/abs/2506.11142v2 | Validation mIoU | 80.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 79.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | Dual Teacher (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://openreview.net/forum?id=JXvszuOqY3 | Validation mIoU | 79.46 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 79.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | UniMatch (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 79.22% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 79.21% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 79.01% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 78.8% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 78.51% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 78.43% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | n-CPS (ResNet-50) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 78.41% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2210.04388v1 | Validation mIoU | 78.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | PS-MT (DeepLab v3+ with ImageNet-pretrained ResNet-50, single scale inference) | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 78.38% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | LaserMix (DeepLab v3+, ImageNet pre- trained ResNet50, single scale inference) | https://arxiv.org/abs/2207.00026v4 | Validation mIoU | 78.3% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | SimpleBaseline(DeepLabv3+ with ImageNet pretrained Xception65, single scale inference) | https://arxiv.org/abs/2104.07256v4 | Validation mIoU | 77.8% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 76.98% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | Error Localization Network (DeeplabV3 with ResNet-50) | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 73.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | SegSDE (MTL decoder with ResNet101, ImageNet pretrained, unlabeled image sequences) | https://arxiv.org/abs/2012.10782v2 | Validation mIoU | 69.38% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 68.50% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 67.53% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 67.5% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | SemiSegContrast
(DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained) | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 65.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 65.14% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | CutMix (DeepLab v2, ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 63.87% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 63.63% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | s4GAN (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 61.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 25% labeled | Adversarial (DeepLab v2 ImageNet pre-trained) | http://arxiv.org/abs/1802.07934v2 | Validation mIoU | 60.5% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/16 labeled | UniMatch V2 | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 46.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/16 labeled | SemiVL | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 37.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/16 labeled | AEL | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 33.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/16 labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 31.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/16 labeled | CutMix | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 29.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | SemiOVS (w/ PrevMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 82.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 81.65 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 81.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 81.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 80.94 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 78.84 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | Dual Teacher | https://openreview.net/forum?id=JXvszuOqY3 | Validation mIoU | 78.82 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2210.04388v1 | Validation mIoU | 78.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 77.21 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 77.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | FARCLUSS | https://arxiv.org/abs/2506.11142v2 | Validation mIoU | 76.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | n-CPS (ResNet-101) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 75.86 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | CPCL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 73.44 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | n-CPS (ResNet-50) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 72.03 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 71.66 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K) | https://www.sciencedirect.com/science/article/pii/S003132032200406X | Validation mIoU | 71.35 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 54.85 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 52.15 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 72.14% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | SemiSegContrast
(DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained) | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 67.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 67.21% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | DMT (DeepLab v2 MSCOCO pre-trained) | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 67.15% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | CutMix (DeepLab v3+ ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 67.05% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 66.41% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 66.15% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | CutMix (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 64.81% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | s4GAN + MLMT (DeepLab v2 MSCOCO/ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 63.3% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | s4GAN+MLMT (DeepLab v3+ ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 62.6% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | s4GAN+MLMT (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 60.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 2% labeled | Adversarial (DeepLab v2 ImageNet pre-trained) | http://arxiv.org/abs/1802.07934v2 | Validation mIoU | 49.2% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | SemiOVS (w/ SemiVL, ViT-B/16) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 87.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 86.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 84.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 80.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | SemiOVS (w/ UniMatch, ResNet-50) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 78.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | UniMatch (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 77.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 77.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 76.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 76.07 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 75.20 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 74.72 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 73.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | LogicDiag (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 73.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 72.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | U2PL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 68.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | CPS (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 64.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 92 labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 61.88 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/32 labeled | UniMatch V2 | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 45.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/32 labeled | SemiVL | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 35.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/32 labeled | AEL | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 28.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/32 labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 28.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | ADE20K 1/32 labeled | CutMix | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 26.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 90.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | SemiOVS (w/ SemiVL, ViT-B/16) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 87.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 86.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | UniMatch (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 83.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 80.75 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 80.6 |
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