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 ⌀ |
|---|---|---|---|---|---|
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 1280x1280, COCO-Pretrain) | https://arxiv.org/abs/2211.06220v2 | mIoU | 58.9 |
Panoptic Segmentation | ADE20K val | EoMT (DINOv2-g, single-scale, 1280x1280, COCO pre-trained) | https://arxiv.org/abs/2503.19108v1 | PQ | 52.8 |
Panoptic Segmentation | ADE20K val | X-Decoder (Davit-d5, Deform, single-scale, 1280x1280) | https://arxiv.org/abs/2212.11270v1 | PQ | 52.4 |
Panoptic Segmentation | ADE20K val | X-Decoder (Davit-d5, Deform, single-scale, 1280x1280) | https://arxiv.org/abs/2212.11270v1 | AP | 38.7 |
Panoptic Segmentation | ADE20K val | X-Decoder (Davit-d5, Deform, single-scale, 1280x1280) | https://arxiv.org/abs/2212.11270v1 | mIoU | 59.1 |
Panoptic Segmentation | ADE20K val | ViT-P (OneFormer, DiNAT-L, single-scale, 1280x1280) | https://arxiv.org/abs/2505.19795v1 | PQ | 51.9 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | PQ | 51.5 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | AP | 37.1 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | mIoU | 58.3 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | PQ | 51.4 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | AP | 37.8 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 1280x1280) | https://arxiv.org/abs/2211.06220v2 | mIoU | 57.0 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | PQ | 50.9 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | AP | - |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | mIoU | 55.2 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | PQ | 50.5 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | AP | 36.0 |
Panoptic Segmentation | ADE20K val | OneFormer (DiNAT-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | mIoU | 58.3 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-XL, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | PQ | 50.1 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-XL, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | AP | 36.3 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-XL, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | mIoU | 57.4 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | PQ | 50.0 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | AP | 36.2 |
Panoptic Segmentation | ADE20K val | OneFormer (ConvNeXt-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | mIoU | 56.6 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | PQ | 49.8 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | AP | 35.9 |
Panoptic Segmentation | ADE20K val | OneFormer (Swin-L, single-scale, 640x640) | https://arxiv.org/abs/2211.06220v2 | mIoU | 57.0 |
Panoptic Segmentation | ADE20K val | X-Decoder (L) | https://arxiv.org/abs/2212.11270v1 | PQ | 49.6 |
Panoptic Segmentation | ADE20K val | X-Decoder (L) | https://arxiv.org/abs/2212.11270v1 | AP | 35.8 |
Panoptic Segmentation | ADE20K val | X-Decoder (L) | https://arxiv.org/abs/2212.11270v1 | mIoU | 58.1 |
Panoptic Segmentation | ADE20K val | DiNAT-L (Mask2Former, 640x640) | https://arxiv.org/abs/2209.15001v3 | PQ | 49.4 |
Panoptic Segmentation | ADE20K val | DiNAT-L (Mask2Former, 640x640) | https://arxiv.org/abs/2209.15001v3 | AP | 35.0 |
Panoptic Segmentation | ADE20K val | DiNAT-L (Mask2Former, 640x640) | https://arxiv.org/abs/2209.15001v3 | mIoU | 56.3 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | PQ | 48.7 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | AP | - |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ConvNeXt-L, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | mIoU | 54.8 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | PQ | 48.1 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | AP | 34.2 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L) | https://arxiv.org/abs/2112.01527v3 | mIoU | 54.5 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L + FAPN, 640x640) | https://arxiv.org/abs/2112.01527v3 | PQ | 46.2 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L + FAPN, 640x640) | https://arxiv.org/abs/2112.01527v3 | AP | 33.2 |
Panoptic Segmentation | ADE20K val | Mask2Former (Swin-L + FAPN, 640x640) | https://arxiv.org/abs/2112.01527v3 | mIoU | 55.4 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | PQ | 42.3 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | AP | - |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 1281x1281) | https://arxiv.org/abs/2207.04044v5 | mIoU | 45.3 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | PQ | 41.5 |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | AP | - |
Panoptic Segmentation | ADE20K val | kMaX-DeepLab (ResNet50, single-scale, 641x641) | https://arxiv.org/abs/2207.04044v5 | mIoU | 45.0 |
Panoptic Segmentation | ADE20K val | Mask2Former (ResNet-50, 640x640) | https://arxiv.org/abs/2112.01527v3 | PQ | 39.7 |
Panoptic Segmentation | ADE20K val | Panoptic-DeepLab (SwideRNet) | https://arxiv.org/abs/2112.01527v3 | PQ | 37.9 |
Panoptic Segmentation | ADE20K val | Panoptic-DeepLab (SwideRNet) | https://arxiv.org/abs/2112.01527v3 | mIoU | 50 |
Panoptic Segmentation | ADE20K val | MaskFormer (R101 + 6 Enc) | https://arxiv.org/abs/2107.06278v2 | PQ | 35.7 |
Panoptic Segmentation | ADE20K val | Mask2Former (ResNet-50, 640x640) | https://arxiv.org/abs/2112.01527v3 | AP | 26.5 |
Panoptic Segmentation | ADE20K val | Mask2Former (ResNet-50, 640x640) | https://arxiv.org/abs/2112.01527v3 | mIoU | 46.1 |
Panoptic Segmentation | Indian Driving Dataset | EfficientPS | https://arxiv.org/abs/2004.02307v3 | PQ | 51.1 |
Panoptic Segmentation | Indian Driving Dataset | Seamless | https://arxiv.org/abs/1905.01220v1 | PQ | 48.5 |
Panoptic Segmentation | Indian Driving Dataset | UPSNet | http://arxiv.org/abs/1901.03784v2 | PQ | 47.1 |
Panoptic Segmentation | Indian Driving Dataset | Panoptic FPN | http://arxiv.org/abs/1901.02446v2 | PQ | 46.7 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ | 55.9 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | RQ | 66.3 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | SQ | 83.8 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | PQ (with stuff) | 62.7 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | RQ (with stuff) | 73.2 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | SQ (with stuff) | 84.8 |
Panoptic Segmentation | S3DIS | SuperCluster | https://arxiv.org/abs/2401.06704v2 | Params (M) | 0.21 |
Panoptic Segmentation | Hypersim | EMSANet (2x ResNet-34 NBt1D) | https://arxiv.org/abs/2309.13635v2 | PQ | 34.95 |
Panoptic Segmentation | Hypersim | EMSANet (2x ResNet-34 NBt1D) | https://arxiv.org/abs/2309.13635v2 | PQ (test) | 29.77 |
Panoptic Segmentation | Hypersim | EMSANet (2x ResNet-34 NBt1D) | https://arxiv.org/abs/2309.13635v2 | mIoU | 49.12 |
Panoptic Segmentation | Hypersim | EMSANet (2x ResNet-34 NBt1D) | https://arxiv.org/abs/2309.13635v2 | mIoU (test) | 44.66 |
Panoptic Segmentation | MUSES: MUlti-SEnsor Semantic perception dataset | CAFuser (Swin-T) | https://arxiv.org/abs/2410.10791v2 | PQ | 59.7 |
Panoptic Segmentation | MUSES: MUlti-SEnsor Semantic perception dataset | MUSES (Mask2Former /w 4xSwin-T) | https://arxiv.org/abs/2401.12761v4 | PQ | 53.6 |
Panoptic Segmentation | COCO panoptic | VAN-B6* | https://arxiv.org/abs/2202.09741v5 | PQ | 58.2 |
Panoptic Segmentation | COCO panoptic | PFPN (ideal number of groups) | https://arxiv.org/abs/2302.03193v1 | PQ | 42.147 |
Panoptic Segmentation | COCO panoptic | PFPN (ideal number of groups) | https://arxiv.org/abs/2302.03193v1 | PQth | 49.816 |
Panoptic Segmentation | COCO panoptic | PFPN (ideal number of groups) | https://arxiv.org/abs/2302.03193v1 | PQst | 30.572 |
Panoptic Segmentation | COCO minival | HyperSeg (Swin-B) | https://arxiv.org/abs/2411.17606v2 | PQ | 61.2 |
Panoptic Segmentation | COCO minival | OneFormer (InternImage-H,single-scale) | https://arxiv.org/abs/2211.06220v2 | PQ | 60.0 |
Panoptic Segmentation | COCO minival | OneFormer (InternImage-H,single-scale) | https://arxiv.org/abs/2211.06220v2 | PQth | 67.1 |
Panoptic Segmentation | COCO minival | OneFormer (InternImage-H,single-scale) | https://arxiv.org/abs/2211.06220v2 | PQst | 49.2 |
Panoptic Segmentation | COCO minival | OneFormer (InternImage-H,single-scale) | https://arxiv.org/abs/2211.06220v2 | AP | 52.0 |
Panoptic Segmentation | COCO minival | OneFormer (InternImage-H,single-scale) | https://arxiv.org/abs/2211.06220v2 | mIoU | 68.8 |
Panoptic Segmentation | COCO minival | OpenSeeD (SwinL, single-scale) | https://arxiv.org/abs/2303.08131v3 | PQ | 59.5 |
Panoptic Segmentation | COCO minival | OpenSeeD (SwinL, single-scale) | https://arxiv.org/abs/2303.08131v3 | AP | 53.2 |
Panoptic Segmentation | COCO minival | UMG-CLIP-E/14 | https://arxiv.org/abs/2401.06397v3 | PQ | 59.5 |
Panoptic Segmentation | COCO minival | UMG-CLIP-E/14 | https://arxiv.org/abs/2401.06397v3 | AP | 50.7 |
Panoptic Segmentation | COCO minival | UMG-CLIP-E/14 | https://arxiv.org/abs/2401.06397v3 | mIoU | 69.7 |
Panoptic Segmentation | COCO minival | MasK DINO (SwinL,single-scale) | https://arxiv.org/abs/2206.02777v3 | PQ | 59.4 |
Panoptic Segmentation | COCO minival | MasK DINO (SwinL,single-scale) | https://arxiv.org/abs/2206.02777v3 | AP | 50.9 |
Panoptic Segmentation | COCO minival | EoMT (DINOv2-g, single-scale, 1280x1280) | https://arxiv.org/abs/2503.19108v1 | PQ | 59.2 |
Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | PQ | 58.9 |
Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | AP | 49.7 |
Panoptic Segmentation | COCO minival | UMG-CLIP-L/14 | https://arxiv.org/abs/2401.06397v3 | mIoU | 68.9 |
Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQ | 58.5 |
Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQth | 64.9 |
Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | PQst | 48.8 |
Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | AP | 49.2 |
Panoptic Segmentation | COCO minival | DiNAT-L (single-scale, Mask2Former) | https://arxiv.org/abs/2209.15001v3 | mIoU | 68.3 |
Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQ | 58.4 |
Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQth | 65.0 |
Panoptic Segmentation | COCO minival | ViT-Adapter-L (single-scale, BEiTv2 pretrain, Mask2Former) | https://arxiv.org/abs/2205.08534v4 | PQst | 48.4 |
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