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 > 3D Semantic Segmentation | SemanticKITTI | MINet | https://arxiv.org/abs/2008.09162v2 | test mIoU | 55.2% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | RandLA-Net | https://arxiv.org/abs/1911.11236v3 | test mIoU | 53.9% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | FG-Net | https://arxiv.org/abs/2012.09439v2 | test mIoU | 53.8% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | LatticeNet | https://arxiv.org/abs/1912.05905v3 | test mIoU | 52.9% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | RangeNet++ | http://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/milioto2019iros.pdf | test mIoU | 52.2% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | Darknet53 | https://arxiv.org/abs/1904.01416v3 | test mIoU | 49.9% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | SqueezeSegV2 | http://arxiv.org/abs/1809.08495v1 | test mIoU | 39.7% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | TangentConv | http://arxiv.org/abs/1807.02443v1 | test mIoU | 35.9% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | SqueezeSeg | http://arxiv.org/abs/1710.07368v1 | test mIoU | 29.5% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | PointNet++ | http://arxiv.org/abs/1706.02413v1 | test mIoU | 20.1% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | SPLATNet | http://arxiv.org/abs/1802.08275v4 | test mIoU | 18.4% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | SPGraph | http://arxiv.org/abs/1711.09869v2 | test mIoU | 17.4% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | PointNet | http://arxiv.org/abs/1612.00593v2 | test mIoU | 14.6% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | PPT+SparseUNet | https://arxiv.org/abs/2308.09718v2 | val mIoU | 71.4% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | OA-CNNs | https://arxiv.org/abs/2403.14418v1 | val mIoU | 70.6% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | LiM3D | https://arxiv.org/abs/2303.11203v2 | mIoU-1% | 58.4 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SemanticKITTI | LiM3D+SDSC | https://arxiv.org/abs/2303.11203v2 | mIoU-1% | 57.2 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | Cylinder3D | https://arxiv.org/abs/2008.01550v1 | mIoU | 40.07 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | SPVCNN | https://arxiv.org/abs/2007.16100v2 | mIoU | 36.78 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | MinkUNet | https://arxiv.org/abs/1904.08755v4 | mIoU | 36.53 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | MinkUNet | https://arxiv.org/abs/1904.08755v4 | mIoU (Temporal DA) | 27.20 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | MinkUNet | https://arxiv.org/abs/1904.08755v4 | mIoU (Env DA) | 30.78 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | WildScenes | SphereFormer | https://arxiv.org/abs/2303.12766v1 | mIoU | 33.97 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Waymo Open Dataset | DITR | https://arxiv.org/abs/2503.18944v1 | mIoU | 73.3 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Waymo Open Dataset | vFusedSeg3D | https://arxiv.org/pdf/2408.15254 | mIoU | 72.46 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | DITR | https://arxiv.org/abs/2503.18944v1 | Top-1 IoU | 0.525 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | DITR | https://arxiv.org/abs/2503.18944v1 | Top-3 IoU | 0.762 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | Sonata | https://arxiv.org/abs/2503.16429v1 | Top-1 IoU | 0.495 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | Sonata | https://arxiv.org/abs/2503.16429v1 | Top-3 IoU | 0.735 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | PTv3 | https://arxiv.org/abs/2312.10035v2 | Top-1 IoU | 0.488 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | PTv3 | https://arxiv.org/abs/2312.10035v2 | Top-3 IoU | 0.725 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | CAC | https://arxiv.org/abs/2303.11633v1 | Top-1 IoU | 0.483 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | CAC | https://arxiv.org/abs/2303.11633v1 | Top-3 IoU | 0.712 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | OA-CNN | https://arxiv.org/abs/2403.14418v1 | Top-1 IoU | 0.470 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | OA-CNN | https://arxiv.org/abs/2403.14418v1 | Top-3 IoU | 0.726 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | OctFormer | https://arxiv.org/abs/2305.03045v2 | Top-1 IoU | 0.460 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | OctFormer | https://arxiv.org/abs/2305.03045v2 | Top-3 IoU | 0.691 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | SpUNet (MinkowskiNet) | https://arxiv.org/abs/1904.08755v4 | Top-1 IoU | 0.456 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | SpUNet (MinkowskiNet) | https://arxiv.org/abs/1904.08755v4 | Top-3 IoU | 0.683 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | PTv2 | https://arxiv.org/abs/2210.05666v2 | Top-1 IoU | 0.445 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScanNet++ | PTv2 | https://arxiv.org/abs/2210.05666v2 | Top-3 IoU | 0.688 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Hypersim | PanopticNDT (10cm) | https://arxiv.org/abs/2309.13635v2 | mIoU | 45.43 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Hypersim | PanopticNDT (10cm) | https://arxiv.org/abs/2309.13635v2 | mIoU (test) | 45.34 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Hypersim | SemanticNDT (10cm) | https://arxiv.org/abs/2309.13635v2 | mIoU | 44.31 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | Hypersim | SemanticNDT (10cm) | https://arxiv.org/abs/2309.13635v2 | mIoU (test) | 44.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | 3D Platelet EM | 2D–3D + 3 × 3 × 3 | https://rdcu.be/cfa43 | Mean IoU (test) | 0.446 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DeepViewAgg | https://arxiv.org/abs/2204.07548v2 | miou | 58.3 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DeepViewAgg | https://arxiv.org/abs/2204.07548v2 | mIoU Category | 73.66 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DeepViewAgg | https://arxiv.org/abs/2204.07548v2 | miou Val | 57.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DeepViewAgg | https://arxiv.org/abs/2204.07548v2 | Model size | 41.2M |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | MinkowskiNet | https://arxiv.org/abs/2204.07548v2 | miou | 53.92 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | MinkowskiNet | https://arxiv.org/abs/2204.07548v2 | mIoU Category | 74.08 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | MinkowskiNet | https://arxiv.org/abs/2204.07548v2 | miou Val | 54.2 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | MinkowskiNet | https://arxiv.org/abs/2204.07548v2 | Model size | 37.9M |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet++ | http://arxiv.org/abs/1706.02413v1 | miou | 35.66 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet++ | http://arxiv.org/abs/1706.02413v1 | mIoU Category | 58.28 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet++ | http://arxiv.org/abs/1706.02413v1 | Model size | 3.0M |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet | http://arxiv.org/abs/1612.00593v2 | miou | 13.07 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet | http://arxiv.org/abs/1612.00593v2 | mIoU Category | 30.42 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | PointNet | http://arxiv.org/abs/1612.00593v2 | Model size | null |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DA-supervised | https://www.mdpi.com/2072-4292/16/21/3984 | miou Val | 64.1 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | DA-supervised | https://www.mdpi.com/2072-4292/16/21/3984 | Model size | 37.9M |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | CLOUDSPAM | https://www.mdpi.com/2072-4292/16/21/3984 | miou Val | 63.6 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | CLOUDSPAM | https://www.mdpi.com/2072-4292/16/21/3984 | Model size | 37.9M |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | Superpoint Transformer | https://arxiv.org/abs/2306.08045v2 | miou Val | 63.5 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | Superpoint Transformer | https://arxiv.org/abs/2306.08045v2 | Model size | 777K |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | miou Val | 62.1 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | KITTI-360 | SuperCluster | https://arxiv.org/abs/2401.06704v2 | Model size | 790K |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | nuScenes | PTv2 | https://arxiv.org/abs/2210.05666v2 | mIoU | 82.6% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | nuScenes | FRNet | https://arxiv.org/abs/2312.04484v3 | mIoU | 82.5% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | nuScenes | AF2S3Net | https://arxiv.org/abs/2102.04530v1 | mIoU | 78.3% |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ECLAIR | Res16UNet14C | https://arxiv.org/abs/2404.10699v1 | F1 | 0.845 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ECLAIR | Res16UNet14C | https://arxiv.org/abs/2404.10699v1 | Mean IoU | 0.7729 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | RELLIS-3D Dataset | Cylinder3D | https://doi.org/10.1007/s41315-024-00376-5 | Mean IoU (class) | 46.07 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | RELLIS-3D Dataset | salsanext | https://arxiv.org/abs/2011.12954v4 | Mean IoU (class) | 43.07 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | RELLIS-3D Dataset | Sphereformer | https://doi.org/10.1007/s41315-024-00376-5 | Mean IoU (class) | 42.19 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | RELLIS-3D Dataset | kpconv | https://arxiv.org/abs/2011.12954v4 | Mean IoU (class) | 19.97 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | IGNet | https://arxiv.org/abs/2311.15605v1 | mIoU | 62.0 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | SSLSS with Cylinder3D | https://arxiv.org/abs/2203.08537v2 | mIoU | 61.3 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | Cylinder3D | https://arxiv.org/abs/2011.10033v1 | mIoU | 57.0 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | MinkowskiNet | https://arxiv.org/abs/1904.08755v4 | mIoU | 55.0 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | LiM3D | https://arxiv.org/abs/2303.11203v2 | mIoU-1% | 57 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | ScribbleKITTI | LiM3D+SDSC | https://arxiv.org/abs/2303.11203v2 | mIoU-1% | 55.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | CSN | https://arxiv.org/abs/2003.09053v6 | mIOU | 62.1 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | MID-Net | https://arxiv.org/abs/2008.01068v2 | mIOU | 60.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | FG-Net | https://arxiv.org/abs/2012.09439v2 | mIOU | 58.2 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | closerlook3D | https://arxiv.org/abs/2007.01294v1 | mIOU | 53.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | DeepGCN | https://arxiv.org/abs/1910.06849v3 | mIOU | 45.1 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | PartNet | PartNet | http://arxiv.org/abs/1812.02713v1 | mIOU | 43.2 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mIoU (6-Fold) | 75.0 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mIoU (Area-5) | 72.4 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PointTransformerV2 | https://arxiv.org/abs/2210.05666v2 | mIoU (Area-5) | 71.6 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PointNext | https://arxiv.org/abs/2206.04670v2 | mIoU (6-Fold) | 74.9 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PointNext | https://arxiv.org/abs/2206.04670v2 | mIoU (Area-5) | 70.5 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PointTransformer | https://arxiv.org/abs/2012.09164v2 | mIoU (6-Fold) | 73.5 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PointTransformer | https://arxiv.org/abs/2012.09164v2 | mIoU (Area-5) | 70.4 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | Superpoint Transformer | https://arxiv.org/abs/2306.08045v2 | mIoU (6-Fold) | 76.0 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | Superpoint Transformer | https://arxiv.org/abs/2306.08045v2 | mAcc | 85.8 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | S3DIS | PVCNN++ | https://arxiv.org/abs/1907.03739v2 | mIoU (6-Fold) | 58.98 |
10-shot image generation > Semantic Segmentation > 3D Semantic Segmentation | SensatUrban | LCPFormer | https://arxiv.org/abs/2210.12755v2 | mIoU | 63.4 |
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