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 | Cityscapes test | AAF (ResNet-101) | http://arxiv.org/abs/1803.10335v3 | Mean IoU (class) | 79.1% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ShelfNet-34 | https://arxiv.org/abs/1811.11254v6 | Mean IoU (class) | 79.0% |
10-shot image generation > Semantic Segmentation | Cityscapes test | BiSeNet (ResNet-101) | http://arxiv.org/abs/1808.00897v1 | Mean IoU (class) | 78.9% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ResNet-38 | http://arxiv.org/abs/1611.10080v1 | Mean IoU (class) | 78.4% |
10-shot image generation > Semantic Segmentation | Cityscapes test | PSPNet | http://arxiv.org/abs/1612.01105v2 | Mean IoU (class) | 78.4% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DepthSeg (ResNet-101) | http://arxiv.org/abs/1705.07238v2 | Mean IoU (class) | 78.2% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DSSPN (ResNet-101) | http://arxiv.org/abs/1803.06067v1 | Mean IoU (class) | 77.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DUC-HDC (ResNet-101) | http://arxiv.org/abs/1702.08502v3 | Mean IoU (class) | 77.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SaGe | https://arxiv.org/abs/2111.13163v1 | Mean IoU (class) | 76.9 |
10-shot image generation > Semantic Segmentation | Cityscapes test | SwinMTL | https://arxiv.org/abs/2403.10662v1 | Mean IoU (class) | 76.41% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SwiftNetRN-18 | http://arxiv.org/abs/1903.08469v2 | Mean IoU (class) | 75.5% |
10-shot image generation > Semantic Segmentation | Cityscapes test | RefineNet (ResNet-101) | http://arxiv.org/abs/1611.06612v3 | Mean IoU (class) | 73.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | MobileNet V3-Large 1.0 | https://arxiv.org/abs/1905.02244v5 | Mean IoU (class) | 72.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SqueezeNAS (LAT Large) | https://arxiv.org/abs/1908.01748v2 | Mean IoU (class) | 72.5% |
10-shot image generation > Semantic Segmentation | Cityscapes test | Multi Scale Spatial Attention | https://arxiv.org/abs/2007.12685v3 | Mean IoU (class) | 72.4% |
10-shot image generation > Semantic Segmentation | Cityscapes test | FRRN | http://arxiv.org/abs/1611.08323v2 | Mean IoU (class) | 71.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LRR-4x | http://arxiv.org/abs/1605.02264v2 | Mean IoU (class) | 71.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | Context | http://arxiv.org/abs/1504.01013v4 | Mean IoU (class) | 71.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | FasterSeg | https://arxiv.org/abs/1912.10917v2 | Mean IoU (class) | 71.5% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DFANet A | http://arxiv.org/abs/1904.02216v1 | Mean IoU (class) | 71.3% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LDFNet | https://arxiv.org/abs/1809.09077v3 | Mean IoU (class) | 71.3 |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-DarkNet19 | https://arxiv.org/abs/1912.06683v1 | Mean IoU (class) | 70.75% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-DarkNet19 | https://arxiv.org/abs/1912.06683v1 | Category mIoU | 88.29 |
10-shot image generation > Semantic Segmentation | Cityscapes test | ESNet | https://arxiv.org/abs/1906.09826v1 | Mean IoU (class) | 70.7% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ICNet | http://arxiv.org/abs/1704.08545v2 | Mean IoU (class) | 70.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LEDNet | https://arxiv.org/abs/1905.02423v3 | Mean IoU (class) | 70.6% |
10-shot image generation > Semantic Segmentation | Cityscapes test | WASPnet (ours) | https://arxiv.org/abs/1912.03183v1 | Mean IoU (class) | 70.5% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DeepLab-CRF (ResNet-101) | http://arxiv.org/abs/1606.00915v2 | Mean IoU (class) | 70.4% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ERFNet (PyTorch) | https://ieeexplore.ieee.org/abstract/document/8063438 | Mean IoU (class) | 69.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | Fast-SCNN | http://arxiv.org/abs/1902.04502v1 | Mean IoU (class) | 68% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-MobileNet | https://arxiv.org/abs/1912.06683v1 | Mean IoU (class) | 67.81% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-MobileNet | https://arxiv.org/abs/1912.06683v1 | Category mIoU | 86.79 |
10-shot image generation > Semantic Segmentation | Cityscapes test | LiteSeg-MobileNet | https://arxiv.org/abs/1912.06683v1 | Mean IoU (class) | 67.81% |
10-shot image generation > Semantic Segmentation | Cityscapes test | Template-Based NAS-arch1 | https://arxiv.org/abs/1904.02365v2 | Mean IoU (class) | 67.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | Template-Based NAS-arch0 | https://arxiv.org/abs/1904.02365v2 | Mean IoU (class) | 67.7% |
10-shot image generation > Semantic Segmentation | Cityscapes test | EDANet | https://arxiv.org/abs/1809.06323v3 | Mean IoU (class) | 67.3 |
10-shot image generation > Semantic Segmentation | Cityscapes test | Dilation10 | http://arxiv.org/abs/1511.07122v3 | Mean IoU (class) | 67.1% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DPN | http://arxiv.org/abs/1509.02634v2 | Mean IoU (class) | 66.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SqueezeNAS (LAT Small) | https://arxiv.org/abs/1908.01748v2 | Mean IoU (class) | 66.8% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SINet | https://arxiv.org/abs/1911.09099v4 | Mean IoU (class) | 66.5% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ESPNetv2 | http://arxiv.org/abs/1811.11431v3 | Mean IoU (class) | 66.2% |
10-shot image generation > Semantic Segmentation | Cityscapes test | FCN | http://arxiv.org/abs/1605.06211v1 | Mean IoU (class) | 65.3% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-ShuffleNet | https://arxiv.org/abs/1912.06683v1 | Mean IoU (class) | 65.17% |
10-shot image generation > Semantic Segmentation | Cityscapes test | LightSeg-ShuffleNet | https://arxiv.org/abs/1912.06683v1 | Category mIoU | 85.39 |
10-shot image generation > Semantic Segmentation | Cityscapes test | LiteSeg-ShuffleNet | https://arxiv.org/abs/1912.06683v1 | Mean IoU (class) | 65.17% |
10-shot image generation > Semantic Segmentation | Cityscapes test | DeepLab | http://arxiv.org/abs/1412.7062v4 | Mean IoU (class) | 63.1% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ENet + Lovász-Softmax | http://arxiv.org/abs/1705.08790v2 | Mean IoU (class) | 63.06% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ESPNet | http://arxiv.org/abs/1803.06815v3 | Mean IoU (class) | 60.3% |
10-shot image generation > Semantic Segmentation | Cityscapes test | ENet | http://arxiv.org/abs/1606.02147v1 | Mean IoU (class) | 58.3% |
10-shot image generation > Semantic Segmentation | Cityscapes test | SegNet | http://arxiv.org/abs/1511.00561v3 | Mean IoU (class) | 57.0% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-1 | https://arxiv.org/abs/2101.10837v4 | Mean IoU (class) | 54.82% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-1 | https://arxiv.org/abs/2101.10837v4 | Category mIoU | 82.22% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-2 | https://arxiv.org/abs/2101.10837v4 | Mean IoU (class) | 45.02% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-2 | https://arxiv.org/abs/2101.10837v4 | Category mIoU | 76.73% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-3 | https://arxiv.org/abs/2101.10837v4 | Mean IoU (class) | 42.07% |
10-shot image generation > Semantic Segmentation | Cityscapes test | IkshanaNet-3 | https://arxiv.org/abs/2101.10837v4 | Category mIoU | 75.61% |
10-shot image generation > Semantic Segmentation | ScanNet | DITR | https://arxiv.org/abs/2503.18944v1 | test mIoU | 79.7 |
10-shot image generation > Semantic Segmentation | ScanNet | DITR | https://arxiv.org/abs/2503.18944v1 | val mIoU | 80.5 |
10-shot image generation > Semantic Segmentation | ScanNet | Sonata + PTv3 | https://arxiv.org/abs/2503.16429v1 | val mIoU | 79.4 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv3 ARKit LabelMaker | https://arxiv.org/abs/2410.13924v1 | test mIoU | 79.8 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv3 ARKit LabelMaker | https://arxiv.org/abs/2410.13924v1 | val mIoU | 79.1 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv3 + PPT | https://arxiv.org/abs/2312.10035v2 | test mIoU | 79.4 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv3 + PPT | https://arxiv.org/abs/2312.10035v2 | val mIoU | 78.6 |
10-shot image generation > Semantic Segmentation | ScanNet | BFANet | https://arxiv.org/abs/2503.12539v1 | val mIoU | 78.0 |
10-shot image generation > Semantic Segmentation | ScanNet | ODIN | https://arxiv.org/abs/2401.02416v3 | test mIoU | 74.4 |
10-shot image generation > Semantic Segmentation | ScanNet | ODIN | https://arxiv.org/abs/2401.02416v3 | val mIoU | 77.8 |
10-shot image generation > Semantic Segmentation | ScanNet | Pamba | https://arxiv.org/abs/2406.17442v3 | val mIoU | 77.6 |
10-shot image generation > Semantic Segmentation | ScanNet | Swin3D-L | https://arxiv.org/abs/2304.06906v3 | test mIoU | 77.9 |
10-shot image generation > Semantic Segmentation | ScanNet | Swin3D-L | https://arxiv.org/abs/2304.06906v3 | val mIoU | 77.5 |
10-shot image generation > Semantic Segmentation | ScanNet | PonderV2 + SparseUNet | https://arxiv.org/abs/2310.08586v3 | test mIoU | 78.5 |
10-shot image generation > Semantic Segmentation | ScanNet | PonderV2 + SparseUNet | https://arxiv.org/abs/2310.08586v3 | val mIoU | 77.0 |
10-shot image generation > Semantic Segmentation | ScanNet | Serialized Piont Mamba | https://arxiv.org/abs/2407.12319v1 | val mIoU | 76.8 |
10-shot image generation > Semantic Segmentation | ScanNet | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | val mIoU | 76.6 |
10-shot image generation > Semantic Segmentation | ScanNet | PPT + SparseUNet | https://arxiv.org/abs/2308.09718v2 | test mIoU | 76.6 |
10-shot image generation > Semantic Segmentation | ScanNet | PPT + SparseUNet | https://arxiv.org/abs/2308.09718v2 | val mIoU | 76.4 |
10-shot image generation > Semantic Segmentation | ScanNet | KPConvX-L | https://arxiv.org/abs/2405.13194v1 | val mIoU | 76.3 |
10-shot image generation > Semantic Segmentation | ScanNet | OA-CNNs | https://arxiv.org/abs/2403.14418v1 | test mIoU | 75.6 |
10-shot image generation > Semantic Segmentation | ScanNet | OA-CNNs | https://arxiv.org/abs/2403.14418v1 | val mIoU | 76.1 |
10-shot image generation > Semantic Segmentation | ScanNet | AVS-Net | https://arxiv.org/abs/2402.17521v3 | val mIoU | 76.1 |
10-shot image generation > Semantic Segmentation | ScanNet | DeLA | https://arxiv.org/abs/2308.16532v1 | val mIoU | 75.9 |
10-shot image generation > Semantic Segmentation | ScanNet | OctFormer | https://arxiv.org/abs/2305.03045v2 | test mIoU | 76.6 |
10-shot image generation > Semantic Segmentation | ScanNet | OctFormer | https://arxiv.org/abs/2305.03045v2 | val mIoU | 75.7 |
10-shot image generation > Semantic Segmentation | ScanNet | LSK3DNet | https://arxiv.org/abs/2403.15173v1 | test mIoU | 75.5 |
10-shot image generation > Semantic Segmentation | ScanNet | LSK3DNet | https://arxiv.org/abs/2403.15173v1 | val mIoU | 75.7 |
10-shot image generation > Semantic Segmentation | ScanNet | MSC + SparseUNet | https://arxiv.org/abs/2303.14191v1 | val mIoU | 75.5 |
10-shot image generation > Semantic Segmentation | ScanNet | PointHR | https://arxiv.org/abs/2310.07743v1 | test mIoU | 76.6 |
10-shot image generation > Semantic Segmentation | ScanNet | PointHR | https://arxiv.org/abs/2310.07743v1 | val mIoU | 75.4 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv2 | https://arxiv.org/abs/2210.05666v2 | test mIoU | 75.2 |
10-shot image generation > Semantic Segmentation | ScanNet | PTv2 | https://arxiv.org/abs/2210.05666v2 | val mIoU | 75.4 |
10-shot image generation > Semantic Segmentation | ScanNet | EQ-Net | https://arxiv.org/abs/2203.01252v3 | test mIoU | 74.3 |
10-shot image generation > Semantic Segmentation | ScanNet | EQ-Net | https://arxiv.org/abs/2203.01252v3 | val mIoU | 75.3 |
10-shot image generation > Semantic Segmentation | ScanNet | StratifiedFormer | https://arxiv.org/abs/2203.14508v1 | test mIoU | 73.7 |
10-shot image generation > Semantic Segmentation | ScanNet | StratifiedFormer | https://arxiv.org/abs/2203.14508v1 | val mIoU | 74.3 |
10-shot image generation > Semantic Segmentation | ScanNet | O-CNN | http://arxiv.org/abs/1712.01537v1 | test mIoU | 76.2 |
10-shot image generation > Semantic Segmentation | ScanNet | O-CNN | http://arxiv.org/abs/1712.01537v1 | val mIoU | 74.0 |
10-shot image generation > Semantic Segmentation | ScanNet | BPNet | https://arxiv.org/abs/2103.14326v1 | test mIoU | 74.9 |
10-shot image generation > Semantic Segmentation | ScanNet | BPNet | https://arxiv.org/abs/2103.14326v1 | val mIoU | 73.9 |
10-shot image generation > Semantic Segmentation | ScanNet | Mix3D | https://arxiv.org/abs/2110.02210v2 | test mIoU | 78.1 |
10-shot image generation > Semantic Segmentation | ScanNet | Mix3D | https://arxiv.org/abs/2110.02210v2 | val mIoU | 73.6 |
10-shot image generation > Semantic Segmentation | ScanNet | MinkowskiNet | https://arxiv.org/abs/1904.08755v4 | test mIoU | 73.4 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.