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 > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, single-scale) | https://arxiv.org/abs/2011.11675v2 | mIoU | 84.6 |
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 | AP | 42.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-XL, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 68.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-XL, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 83.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (ConvNeXt-XL, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 46.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | PQ | 68.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | mIoU | 83.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | AP | 44.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Base (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQ | 67.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Base (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQst | 71.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Base (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQth | 62.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Base (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | mIoU | 83.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Base (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | AP | 46.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 67.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 83.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 45.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS | https://arxiv.org/abs/2004.02307v3 | PQ | 67.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS | https://arxiv.org/abs/2004.02307v3 | PQst | 70.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS | https://arxiv.org/abs/2004.02307v3 | PQth | 63.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS | https://arxiv.org/abs/2004.02307v3 | mIoU | 82.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS | https://arxiv.org/abs/2004.02307v3 | AP | 43.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | DiNAT-L (Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQ | 67.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | DiNAT-L (Mask2Former) | https://arxiv.org/abs/2209.15001v3 | mIoU | 83.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | DiNAT-L (Mask2Former) | https://arxiv.org/abs/2209.15001v3 | AP | 44.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 67.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 83.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 45.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Small (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQ | 66.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Small (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQst | 70.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Small (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | PQth | 61.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Small (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | mIoU | 82.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AFF-Small (single-scale, point-based Mask2Former) | https://arxiv.org/abs/2304.12406v2 | AP | 44.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | PQ | 66.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | mIoU | 82.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | AP | 43.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | PQ | 64.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | PQst | 67.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | PQth | 61.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | mIoU | 90.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | EfficientPS (Cityscapes-fine) | https://arxiv.org/abs/2004.02307v3 | AP | 39.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | CMT-DeepLab (MaX-S, single-scale, IN-1K) | https://arxiv.org/abs/2206.08948v1 | PQ | 64.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | CMT-DeepLab (MaX-S, single-scale, IN-1K) | https://arxiv.org/abs/2206.08948v1 | mIoU | 81.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (X71) | https://arxiv.org/abs/1911.10194v3 | PQ | 64.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (X71) | https://arxiv.org/abs/1911.10194v3 | mIoU | 81.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic-DeepLab (X71) | https://arxiv.org/abs/1911.10194v3 | AP | 38.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former + Intra-Batch Supervision (ResNet-50) | https://arxiv.org/abs/2304.08222v1 | PQ | 62.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former + Intra-Batch Supervision (ResNet-50) | https://arxiv.org/abs/2304.08222v1 | PQst | 67.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Mask2Former + Intra-Batch Supervision (ResNet-50) | https://arxiv.org/abs/2304.08222v1 | PQth | 54.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | PQ | 62.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | PQst | 67.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | PQth | 55.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | mIoU | 79.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | COPS (ResNet-50) | https://arxiv.org/abs/2106.03188v3 | AP | 34.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNeXt-101) | https://arxiv.org/abs/1909.07829v1 | PQ | 62.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNeXt-101) | https://arxiv.org/abs/1909.07829v1 | PQst | 64.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNeXt-101) | https://arxiv.org/abs/1909.07829v1 | PQth | 58.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNeXt-101) | https://arxiv.org/abs/1909.07829v1 | mIoU | 79.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNeXt-101) | https://arxiv.org/abs/1909.07829v1 | AP | 36.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101, multiscale) | http://arxiv.org/abs/1901.03784v2 | PQ | 61.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101, multiscale) | http://arxiv.org/abs/1901.03784v2 | PQst | 64.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101, multiscale) | http://arxiv.org/abs/1901.03784v2 | PQth | 57.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101, multiscale) | http://arxiv.org/abs/1901.03784v2 | mIoU | 79.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101, multiscale) | http://arxiv.org/abs/1901.03784v2 | AP | 39.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic FCN* (ResNet-FPN) | https://arxiv.org/abs/2012.00720v2 | PQ | 61.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | Panoptic FCN* (ResNet-FPN) | https://arxiv.org/abs/2012.00720v2 | PQth | 54.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | MRCNN + PSPNet (ResNet-101) | http://arxiv.org/abs/1801.00868v3 | PQ | 61.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | MRCNN + PSPNet (ResNet-101) | http://arxiv.org/abs/1801.00868v3 | PQst | 66.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | MRCNN + PSPNet (ResNet-101) | http://arxiv.org/abs/1801.00868v3 | PQth | 54 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | MRCNN + PSPNet (ResNet-101) | http://arxiv.org/abs/1801.00868v3 | AP | 36.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-101) | https://arxiv.org/abs/1909.07829v1 | PQ | 60.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-101) | https://arxiv.org/abs/1909.07829v1 | PQst | 62.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-101) | https://arxiv.org/abs/1909.07829v1 | PQth | 57.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-101) | https://arxiv.org/abs/1909.07829v1 | mIoU | 77.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-101) | https://arxiv.org/abs/1909.07829v1 | AP | 33.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101) | http://arxiv.org/abs/1901.03784v2 | PQ | 60.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101) | http://arxiv.org/abs/1901.03784v2 | PQst | 63.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101) | http://arxiv.org/abs/1901.03784v2 | PQth | 57.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101) | http://arxiv.org/abs/1901.03784v2 | mIoU | 77.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-101) | http://arxiv.org/abs/1901.03784v2 | AP | 37.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50, multi-scale) | https://arxiv.org/abs/1812.01192v2 | PQ | 60.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50, multi-scale) | https://arxiv.org/abs/1812.01192v2 | PQst | 63.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50, multi-scale) | https://arxiv.org/abs/1812.01192v2 | PQth | 56.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50, multi-scale) | https://arxiv.org/abs/1812.01192v2 | mIoU | 78 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50, multi-scale) | https://arxiv.org/abs/1812.01192v2 | AP | 39 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-50) | http://arxiv.org/abs/1901.03784v2 | PQ | 59.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-50) | http://arxiv.org/abs/1901.03784v2 | PQst | 62.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-50) | http://arxiv.org/abs/1901.03784v2 | PQth | 54.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-50) | http://arxiv.org/abs/1901.03784v2 | mIoU | 75.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | UPSNet (ResNet-50) | http://arxiv.org/abs/1901.03784v2 | AP | 33.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50) | https://arxiv.org/abs/1812.01192v2 | PQ | 59.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50) | https://arxiv.org/abs/1812.01192v2 | PQst | 61.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50) | https://arxiv.org/abs/1812.01192v2 | PQth | 56 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50) | https://arxiv.org/abs/1812.01192v2 | mIoU | 77.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | TASCNet (ResNet-50) | https://arxiv.org/abs/1812.01192v2 | AP | 37.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AUNet (ResNet-101-FPN) | http://arxiv.org/abs/1812.03904v2 | PQ | 59.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AUNet (ResNet-101-FPN) | http://arxiv.org/abs/1812.03904v2 | PQst | 62.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AUNet (ResNet-101-FPN) | http://arxiv.org/abs/1812.03904v2 | PQth | 54.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AUNet (ResNet-101-FPN) | http://arxiv.org/abs/1812.03904v2 | mIoU | 75.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AUNet (ResNet-101-FPN) | http://arxiv.org/abs/1812.03904v2 | AP | 34.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | Cityscapes val | AdaptIS (ResNet-50) | https://arxiv.org/abs/1909.07829v1 | PQ | 59.0 |
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