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 > Tumor Segmentation | DigestPath | CAC-UNet | https://arxiv.org/abs/2006.15954v2 | DSC | 0.8075 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | BUS 2017 Dataset B | Salient Attention U-Net | https://arxiv.org/abs/1910.08978v2 | Dice Score | 0.7341 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes test | (AF)2-S3Net + CenterPoint | https://arxiv.org/abs/2109.03805v3 | PQ | 76.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes test | (AF)2-S3Net + CenterPoint | https://arxiv.org/abs/2109.03805v3 | SQ | 89.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes test | (AF)2-S3Net + CenterPoint | https://arxiv.org/abs/2109.03805v3 | RQ | 85.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes test | (AF)2-S3Net + CenterPoint | https://arxiv.org/abs/2109.03805v3 | mIoU | 78.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | PQ | 71.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | PQ_th | 69.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | PQ_st | 86.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ | 58.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ_th | 69.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ_st | 84.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | PanopticFusion | https://arxiv.org/abs/1903.01177v2 | PQ | 33.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | PanopticFusion | https://arxiv.org/abs/1903.01177v2 | PQ_th | 30.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | PanopticFusion | https://arxiv.org/abs/1903.01177v2 | PQ_st | 58.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SceneGraphFusion | https://arxiv.org/abs/2103.14898v3 | PQ | 31.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SceneGraphFusion | https://arxiv.org/abs/2103.14898v3 | PQ_th | 30.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNet | SceneGraphFusion | https://arxiv.org/abs/2103.14898v3 | PQ_st | 43.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | NYU Depth v2 | EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned) | https://arxiv.org/abs/2309.13635v2 | PQ | 51.15 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | NYU Depth v2 | EMSANet | https://arxiv.org/abs/2207.04526v1 | PQ | 47.38 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PanNuke | LKCell | https://arxiv.org/abs/2407.18054v1 | PQ | 50.80 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PanNuke | CellViT-SAM-H | https://arxiv.org/abs/2306.15350v2 | PQ | 50.62 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PanNuke | TSFD | https://www.sciencedirect.com/science/article/pii/S0893608022000612?via%3Dihub | PQ | 50.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PanNuke | NuLite-H | https://arxiv.org/abs/2408.01797v2 | PQ | 49.81 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes val | PolarSeg-Panoptic | https://arxiv.org/abs/2109.03805v3 | PQ | 63.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes val | PolarSeg-Panoptic | https://arxiv.org/abs/2109.03805v3 | SQ | 83.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes val | PolarSeg-Panoptic | https://arxiv.org/abs/2109.03805v3 | RQ | 75.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Panoptic nuScenes val | PolarSeg-Panoptic | https://arxiv.org/abs/2109.03805v3 | mIoU | 66.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained) | https://arxiv.org/abs/2211.06220v2 | PQ | 68.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary, multi-scale) | https://arxiv.org/abs/2011.11675v2 | PQ | 67.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | EfficientPS | https://arxiv.org/abs/2004.02307v3 | PQ | 67.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | Axial-DeepLab-XL (Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2003.07853v2 | PQ | 66.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | PQ | 66.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | Panoptic-Deeplab | https://arxiv.org/abs/1911.10194v3 | PQ | 65.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | PQ | 62.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | SOGNet (ResNet-50) | https://arxiv.org/abs/1911.07527v1 | PQ | 60 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | PQ | 60 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes test | Dynamically Instantiated Network | http://arxiv.org/abs/1704.02386v1 | PQ | 55.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PASTIS-R | Early Fusion | https://arxiv.org/abs/2112.07558v1 | SQ | 82.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PASTIS-R | Early Fusion | https://arxiv.org/abs/2112.07558v1 | RQ | 50.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | PASTIS-R | Early Fusion | https://arxiv.org/abs/2112.07558v1 | PQ | 42 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | PQ | 71.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | PanopticNDT (10cm) | https://arxiv.org/abs/2309.13635v2 | PQ | 59.19 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ | 58.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | SQ | 84.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | RQ | 69.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | Params (M) | 1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | PanopticFusion (with CRF) | https://arxiv.org/abs/1903.01177v2 | PQ | 33.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | PanopticFusion (with CRF) | https://arxiv.org/abs/1903.01177v2 | SQ | 73.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | PanopticFusion (with CRF) | https://arxiv.org/abs/1903.01177v2 | RQ | 45.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | PanopticFusion (with CRF) | https://arxiv.org/abs/1903.01177v2 | Params (M) | null |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SceneGraphFusion (NN mapping) | https://arxiv.org/abs/2103.14898v3 | PQ | 31.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SceneGraphFusion (NN mapping) | https://arxiv.org/abs/2103.14898v3 | SQ | 72.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SceneGraphFusion (NN mapping) | https://arxiv.org/abs/2103.14898v3 | RQ | 42.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | ScanNetV2 | SceneGraphFusion (NN mapping) | https://arxiv.org/abs/2103.14898v3 | Params (M) | 2.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ | 48.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | RQ | 58.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | SQ | 75.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | Params (M) | 0.79 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | PQ | 0.649 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | PQ_dagger | 0.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | RQ | 0.759 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | SQ | 0.849 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | PQth | 0.671 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | RQth | 0.741 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | SQth | 0.906 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | PQst | 0.633 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | RQst | 0.772 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | SQst | 0.807 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | P3Former | https://arxiv.org/abs/2303.13509v1 | mIoU | 0.683 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | PQ | 0.559 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | PQ_dagger | 0.625 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | RQ | 0.667 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | SQ | 0.823 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | PQth | 0.551 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | RQth | 0.628 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | SQth | 0.872 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | PQst | 0.565 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | RQst | 0.695 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | SQst | 0.787 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SemanticKITTI | DS-Net | https://arxiv.org/abs/2011.11964v2 | mIoU | 0.616 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | SUN-RGBD | EMSANet | https://arxiv.org/abs/2207.04526v1 | PQ | 52.84 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | ViT-P (OneFormer, InternImage-H) | https://arxiv.org/abs/2505.19795v1 | PQ | 70.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | ViT-P (OneFormer, InternImage-H) | https://arxiv.org/abs/2505.19795v1 | mIoU | 85.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | ViT-P (OneFormer, InternImage-H) | https://arxiv.org/abs/2505.19795v1 | AP | 50.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained) | https://arxiv.org/abs/2211.06220v2 | PQ | 70.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained) | https://arxiv.org/abs/2211.06220v2 | PQst | 74.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained) | https://arxiv.org/abs/2211.06220v2 | PQth | 64.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained) | https://arxiv.org/abs/2211.06220v2 | mIoU | 84.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained) | https://arxiv.org/abs/2211.06220v2 | AP | 48.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2011.11675v2 | PQ | 69.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2011.11675v2 | mIoU | 85.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2011.11675v2 | AP | 46.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 68.51 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 83.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 46.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Axial-DeepLab-XL (Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2003.07853v2 | PQ | 68.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Axial-DeepLab-XL (Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2003.07853v2 | mIoU | 84.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Axial-DeepLab-XL (Mapillary Vistas, multi-scale) | https://arxiv.org/abs/2003.07853v2 | AP | 44.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, single-scale) | https://arxiv.org/abs/2011.11675v2 | PQ | 68.5 |
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