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 732 labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 80.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 80.12 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 79.90 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | LogicDiag (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 79.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 78.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | S4MC (R50) | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 77.83 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | U2PL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 76.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | CPS (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 75.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 732 labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 74.25 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL Context 25% labeled | GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 41.7% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL Context 25% labeled | s4GAN+MLMT (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 37.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 90.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | SemiOVS (w/ SemiVL, ViT-B/16) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 88.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | SemiVL (ViT-B/16 | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 87.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | UniMatch (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 1464 labels | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 82.12 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 81.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 81.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 81.56 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | UniMatch (DeepLab v3 with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 81.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 80.01 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | U2PL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 79.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 79.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-50, single scale inference) | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 78.08 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | DMT (DeepLab v2, ResNet-50) | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 74.85 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | GuidedMix-Net(DeepLab v2 with ResNet50, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 73.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 1464 labels | S4MC (R50) | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 0.7941 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | SemiOVS (w/ PrevMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Dual Teacher | https://openreview.net/forum?id=JXvszuOqY3 | Validation mIoU | 81.03 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 80.92 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 80.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 80.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2210.04388v1 | Validation mIoU | 80.78 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 80.43 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 79.85 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 79.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | FARCLUSS | https://arxiv.org/abs/2506.11142v2 | Validation mIoU | 79.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | n-CPS (ResNet-101) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 78.97 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 78.72 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 78.06 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | GuidedMix-Net(DeepLab v2 with ResNet101, input-size: 512x512 with multi-scale and flip, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 77.8% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 77.68% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | CPCL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 77.16 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Error Localization Network (DeeplabV3 with ResNet-101) | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 76.58% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K) | https://www.sciencedirect.com/science/article/pii/S003132032200406X | Validation mIoU | 76.47 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 76.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | n-CPS (ResNet-50) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 75.85 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 75.5% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Error Localization Network (DeeplabV3 with ResNet-50) | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 74.63% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 74.58 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 72.45 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 72.04 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 69.02 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | UniMatch V2 | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 58.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | SemiVL | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 53.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | PrevMatch | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 45.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 45.48 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | LogicDiag | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 45.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 44.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 43.78 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | PC2Seg | https://arxiv.org/abs/2108.09025v1 | Validation mIoU | 40.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/128 labeled | PseudoSeg | https://arxiv.org/abs/2010.09713v2 | Validation mIoU | 39.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | UniMatch V2 | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 60.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | SemiVL | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 55.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 49.56 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | LogicDiag | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 48.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | PrevMatch | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 48.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 48.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 47.98 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | PC2Seg | https://arxiv.org/abs/2108.09025v1 | Validation mIoU | 43.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/64 labeled | PseudoSeg | https://arxiv.org/abs/2010.09713v2 | Validation mIoU | 41.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | 2017 Robotic Instrument Segmentation Challenge | MMS (20% Labeled) | https://arxiv.org/abs/2203.15177v4 | DSC | 0.931 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 500 labels | GuidedMix-Net(DeepLab v2 with ResNet50, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 65.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 82.4 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | SemiOVS (w/ PrevMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 82.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 82.04% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 81.92% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 81.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 81.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Dual Teacher | https://openreview.net/forum?id=JXvszuOqY3 | Validation mIoU | 81.19 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2210.04388v1 | Validation mIoU | 80.71% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 79.67% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 79.01% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | PS-MT | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 78.20% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | FARCLUSS | https://arxiv.org/abs/2506.11142v2 | Validation mIoU | 78.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | n-CPS (ResNet-101) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 77.99% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 77.57% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CPS | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 76.44% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | GuidedMix-Net | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 76.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CPCL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 76.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 75.81% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | PS-MT | https://arxiv.org/abs/2111.12903v3 | Validation mIoU | 75.70% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K) | https://www.sciencedirect.com/science/article/pii/S003132032200406X | Validation mIoU | 75.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Error Localization Network | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 75.10% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | n-CPS | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 74.21% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 73.74% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | GuidedMix-Net | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 73.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Error Localization Network | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 73.2% |
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