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 12.5% labeled | DMT | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 72.70% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CutMix | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 72.45% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | SemiSegContrast | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 71.6% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | s4GAN + MLMT | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 71.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | ClassMix | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 71.00% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | ReCo | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 71.00% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | GIST and RIST | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 70.76% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | s4GAN+MLMT | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 70.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | CutMix | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 67.6% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | s4GAN+MLMT | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 67.3% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 65.82% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Adversarial | http://arxiv.org/abs/1802.07934v2 | Validation mIoU | 64.3% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 12.5% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 62.49% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 93 labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 74.28 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 93 labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 66.97 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 93 labeled | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single-pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 65.81 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pre-trained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 63.60% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pre-trained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 63.16% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | DMT (DeepLab v2 MSCOCO pre-trained) | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 63.04% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | CutMix (DeepLab v3+ ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 59.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 54.18% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 1% labeled | CutMix (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 53.79% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 76.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 73.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 65.87 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | SemiSegContrast (DeepLab v3+ with ResNet-50 backbone, MSCOCO pretrained) | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 64.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | SegSDE (MTL decoder with ResNet101, ImageNet pretrained, unlabeled image sequences) | https://arxiv.org/abs/2012.10782v2 | Validation mIoU | 62.09% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 60.28% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | SemiSegContrast (DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained) | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 59.4% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 58.70% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | https://arxiv.org/abs/2106.15064v2 | Validation mIoU | 56.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 56.53% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | DMT (DeepLab v2 MSCOCO/ImageNet pre-trained) | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 54.80% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 54.07% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 100 samples labeled | CutMix (DeepLab v2, ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 51.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 73.66% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | Error Localization Network (DeeplabV3 with ResNet-101) | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 72.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | Error Localization Network (DeeplabV3 with ResNet-50) | https://arxiv.org/abs/2204.02078v3 | Validation mIoU | 70.52% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | SemiSegContrast
(DeepLab v2 with ResNet-101 backbone, MSCOCO pretrained) | https://arxiv.org/abs/2104.13415v3 | Validation mIoU | 70.0% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | DMT (DeepLab v2 MSCOCO/ImageNet pre-trained) | https://arxiv.org/abs/2004.08514v4 | Validation mIoU | 69.92% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | CutMix (DeepLab v3+ ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 69.57% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | GIST and RIST (DeepLabv2 with ResNet101, MSCOCO pre-trained) | https://arxiv.org/abs/2103.17105v3 | Validation mIoU | 69.40% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | ReCo (DeepLab v2 with ResNet-101 backbone, ImageNet pretrained) | https://arxiv.org/abs/2104.04465v4 | Validation mIoU | 68.85% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | ClassMix (DeepLab v2 MSCOCO pretrained) | https://arxiv.org/abs/2007.07936v2 | Validation mIoU | 67.77% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | s4GAN + MLMT (DeepLab v2 MSCOCO/ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 67.2% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | s4GAN+MLMT (DeepLab v3+ ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 66.6% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | CutMix (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1906.01916v5 | Validation mIoU | 66.48% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | s4GAN+MLMT (DeepLab v2 ImageNet pre-trained) | https://arxiv.org/abs/1908.05724v1 | Validation mIoU | 62.9% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Pascal VOC 2012 5% labeled | Adversarial (DeepLab v2 ImageNet pre-trained) | http://arxiv.org/abs/1802.07934v2 | Validation mIoU | 59.1% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | SUIM | AIM+ (256x256, 2.7m parameters, 10% labeled data, no pretraining) | https://arxiv.org/abs/2401.14387v2 | Mean IoU (class) | 0.482 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | WoodScape | FishSegSSL | https://www.mdpi.com/2313-433X/10/3/71 | Mean IoU | 64.81 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | WoodScape | CPS | https://arxiv.org/abs/2106.01226v2 | Mean IoU | 62.87 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | KiTS19 | PatchCL | http://openaccess.thecvf.com//content/CVPR2023/html/Basak_Pseudo-Label_Guided_Contrastive_Learning_for_Semi-Supervised_Medical_Image_Segmentation_CVPR_2023_paper.html | Avg DSC | 0.919 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 88.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | SemiOVS (w/ SemiVL, ViT-B/16) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 87.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 86.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | UniMatch (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 82.0 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | AllSpark | https://arxiv.org/abs/2403.01818v3 | Validation mIoU | 79.77 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 79.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 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 | PASCAL VOC 2012 366 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 79.09 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | UniMatch (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 78.80 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | LogicDiag (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 77.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 77.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | U2PL (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 73.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 72.14 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 366 labeled | CPS (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 71.7 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes with extra (no coarse labels) | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 80.82 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes with extra (no coarse labels) | Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 79.98 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 83.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 77.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | PrevMatch (ResNet-101) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 77.7% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | CorrMatch (Deeplabv3+ with ResNet-101) | https://arxiv.org/abs/2306.04300v3 | Validation mIoU | 77.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | FARCLUSS | https://arxiv.org/abs/2506.11142v2 | Validation mIoU | 77.2 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 77.00 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | Dual Teacher (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://openreview.net/forum?id=JXvszuOqY3 | Validation mIoU | 76.81 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | UniMatch (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 76.59 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | n-CPS (ResNet-50) | https://arxiv.org/abs/2112.07528v4 | Validation mIoU | 76.08 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2110.05474v1 | Validation mIoU | 75.83% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | PrevMatch (ResNet-50) | https://arxiv.org/abs/2405.20610v1 | Validation mIoU | 75.8% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | CW-BASS (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2502.15152v1 | Validation mIoU | 75.00 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | https://arxiv.org/abs/2203.03884v2 | Validation mIoU | 74.90% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | https://arxiv.org/abs/2210.04388v1 | Validation mIoU | 73.41% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 71.1% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | Dense FixMatch (DeepLabv3+ ResNet-50, uniform sampling, single pass eval) | https://arxiv.org/abs/2210.09919v1 | Validation mIoU | 70.65% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | CPCL (DeepLab v3+ with ResNet-50) | https://arxiv.org/abs/2211.16701v2 | Validation mIoU | 69.92% |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Cityscapes 6.25% labeled | CPS (DeepLab v3+ with ResNet-101) | https://arxiv.org/abs/2106.01226v2 | Validation mIoU | 69.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | Kvasir-Instrument | MMS(20% labeled) | https://arxiv.org/abs/2203.15177v4 | Dice (Average) | 0.874 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | UniMatch V2 | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 63.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | SemiVL | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 56.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | S4MC | https://arxiv.org/abs/2308.13900v2 | Validation mIoU | 50.58 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | LogicDiag | https://arxiv.org/abs/2308.12595v1 | Validation mIoU | 50.5 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | UniMatch | https://arxiv.org/abs/2208.09910v2 | Validation mIoU | 49.8 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | PC2Seg | https://arxiv.org/abs/2108.09025v1 | Validation mIoU | 46.1 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | COCO 1/32 labeled | PseudoSeg | https://arxiv.org/abs/2010.09713v2 | Validation mIoU | 43.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | UniMatch V2 (DINOv2-B) | https://arxiv.org/abs/2410.10777v2 | Validation mIoU | 87.9 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | SemiOVS (w/ SemiVL, ViT-B/16) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 87.3 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | SemiVL (ViT-B/16) | https://arxiv.org/abs/2311.16241v1 | Validation mIoU | 85.6 |
10-shot image generation > Semantic Segmentation > Semi-Supervised Semantic Segmentation | PASCAL VOC 2012 183 labeled | SemiOVS (w/ UniMatch, ResNet-101) | https://arxiv.org/abs/2507.03302 | Validation mIoU | 81.3 |
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