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 | COCO minival | UMG-CLIP-E/14 | https://arxiv.org/abs/2401.06397v3 | AP | 50.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | UMG-CLIP-E/14 | https://arxiv.org/abs/2401.06397v3 | mIoU | 69.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MasK DINO (SwinL,single-scale) | https://arxiv.org/abs/2206.02777v3 | PQ | 59.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MasK DINO (SwinL,single-scale) | https://arxiv.org/abs/2206.02777v3 | AP | 50.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | EoMT (DINOv2-g, single-scale, 1280x1280) | https://arxiv.org/abs/2503.19108v1 | PQ | 59.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | PQ | 58.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | AP | 49.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | mIoU | 68.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQ | 58.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQth | 64.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQst | 48.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | AP | 49.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | mIoU | 68.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQ | 58.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQth | 65.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQst | 48.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | AP | 48.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Visual Attention Network (VAN-B6 + Mask2Former) | https://arxiv.org/abs/2202.09741v5 | PQ | 58.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Visual Attention Network (VAN-B6 + Mask2Former) | https://arxiv.org/abs/2202.09741v5 | PQth | 64.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Visual Attention Network (VAN-B6 + Mask2Former) | https://arxiv.org/abs/2202.09741v5 | PQst | 48.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, pseudo-labels) | https://arxiv.org/abs/2207.04044v5 | PQ | 58.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, pseudo-labels) | https://arxiv.org/abs/2207.04044v5 | PQth | 64.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, pseudo-labels) | https://arxiv.org/abs/2207.04044v5 | PQst | 48.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | HIPIE (ViT-H, single-scale) | https://arxiv.org/abs/2307.00764v2 | PQ | 58.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | HIPIE (ViT-H, single-scale) | https://arxiv.org/abs/2307.00764v2 | mIoU | 66.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, drop query with 256 queries) | https://arxiv.org/abs/2207.04044v5 | PQ | 58.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, drop query with 256 queries) | https://arxiv.org/abs/2207.04044v5 | PQth | 64.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale, drop query with 256 queries) | https://arxiv.org/abs/2207.04044v5 | PQst | 48.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 58.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQth | 64.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQst | 48.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 49.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (DiNAT-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 68.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | PQ | 57.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | PQth | 64.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | kMaX-DeepLab (single-scale) | https://arxiv.org/abs/2207.04044v5 | PQst | 48.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 57.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQth | 64.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | PQst | 48.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 49.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | OneFormer (Swin-L, single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 67.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | FocalNet-L (Mask2Former (200 queries)) | https://arxiv.org/abs/2203.11926v3 | PQ | 57.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | FocalNet-L (Mask2Former (200 queries)) | https://arxiv.org/abs/2203.11926v3 | AP | 48.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Mask2Former (single-scale) | https://arxiv.org/abs/2112.01527v3 | PQ | 57.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Mask2Former (single-scale) | https://arxiv.org/abs/2112.01527v3 | PQth | 64.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Mask2Former (single-scale) | https://arxiv.org/abs/2112.01527v3 | PQst | 48.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Mask2Former (single-scale) | https://arxiv.org/abs/2112.01527v3 | AP | 48.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (single-scale) | https://arxiv.org/abs/2109.03814v4 | PQ | 55.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (single-scale) | https://arxiv.org/abs/2109.03814v4 | PQth | 61.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (single-scale) | https://arxiv.org/abs/2109.03814v4 | PQst | 46.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | CMT-DeepLab (single-scale) | https://arxiv.org/abs/2206.08948v1 | PQ | 55.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | CMT-DeepLab (single-scale) | https://arxiv.org/abs/2206.08948v1 | PQth | 61.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | CMT-DeepLab (single-scale) | https://arxiv.org/abs/2206.08948v1 | PQst | 46.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaskFormer (single-scale) | https://arxiv.org/abs/2107.06278v2 | PQ | 52.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaskFormer (single-scale) | https://arxiv.org/abs/2107.06278v2 | SQ | 81.8 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaskFormer (single-scale) | https://arxiv.org/abs/2107.06278v2 | RQ | 63.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaskFormer (single-scale) | https://arxiv.org/abs/2107.06278v2 | PQth | 58.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaskFormer (single-scale) | https://arxiv.org/abs/2107.06278v2 | PQst | 44.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaX-DeepLab-L (single-scale) | https://arxiv.org/abs/2012.00759v3 | PQ | 51.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaX-DeepLab-L (single-scale) | https://arxiv.org/abs/2012.00759v3 | PQth | 57.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | MaX-DeepLab-L (single-scale) | https://arxiv.org/abs/2012.00759v3 | PQst | 42.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (ResNet-101) | https://arxiv.org/abs/2109.03814v4 | PQ | 50.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (ResNet-101) | https://arxiv.org/abs/2109.03814v4 | PQth | 55.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic SegFormer (ResNet-101) | https://arxiv.org/abs/2109.03814v4 | PQst | 43.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN+ResNeSt(single-scale) | https://arxiv.org/abs/2004.08955v2 | PQ | 47.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN+ResNeSt(single-scale) | https://arxiv.org/abs/2004.08955v2 | PQth | 55.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN+ResNeSt(single-scale) | https://arxiv.org/abs/2004.08955v2 | PQst | 37.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | PQ | 45.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | SQ | 79.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | RQ | 55.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | PQth | 50.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | SQth | 80.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | RQth | 61.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | PQst | 37 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | SQst | 78.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | RQst | 46 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | DETR-R101 (ResNet-101) | https://arxiv.org/abs/2005.12872v3 | AP | 33 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | PQ | 44.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | SQ | 80.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | RQ | 53 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | PQth | 50 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | SQth | 83.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | RQth | 59.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | PQst | 35.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | SQst | 76.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Panoptic FCN* (ResNet-50-FPN) | https://arxiv.org/abs/2012.00720v2 | RQst | 43.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | PQ | 44.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | SQ | 79.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | RQ | 53.3 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | PQth | 51.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | SQth | 83.2 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | RQth | 60.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | PQst | 33.6 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | SQst | 74.0 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | RQst | 42.1 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | PanopticFPN++ | https://arxiv.org/abs/2005.12872v3 | AP | 39.7 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Axial-DeepLab-L (multi-scale) | https://arxiv.org/abs/2003.07853v2 | PQ | 43.9 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Axial-DeepLab-L (single-scale) | https://arxiv.org/abs/2003.07853v2 | PQ | 43.4 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Axial-DeepLab-L (single-scale) | https://arxiv.org/abs/2003.07853v2 | PQth | 48.5 |
10-shot image generation > Semantic Segmentation > Panoptic Segmentation | COCO minival | Axial-DeepLab-L (single-scale) | https://arxiv.org/abs/2003.07853v2 | PQst | 35.6 |
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