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 > Unsupervised Semantic Segmentation | Cityscapes test | PriMaPs-EM (DINO ViT-S/8) | https://arxiv.org/abs/2404.16818v2 | Accuracy | 81.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | HP | https://arxiv.org/abs/2303.15014v1 | mIoU | 18.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | HP | https://arxiv.org/abs/2303.15014v1 | Accuracy | 80.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | GraPix + AUT | https://doi.org/10.1007/978-3-031-78192-6_13 | mIoU | 14.54 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | Grapix | https://doi.org/10.1007/978-3-031-78192-6_13 | mIoU | 14.33 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | PiCIE | https://arxiv.org/abs/2103.17070v1 | mIoU | 12.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | PiCIE | https://arxiv.org/abs/2103.17070v1 | Accuracy | 65.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | MDC | http://arxiv.org/abs/1807.05520v2 | mIoU | 7.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | MDC | http://arxiv.org/abs/1807.05520v2 | Accuracy | 40.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | Cityscapes test | GraPix | https://doi.org/10.1007/978-3-031-78192-6_13 | Pixel Accuracy | 64.89 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | ImageNet-S-300 | PASS | https://arxiv.org/abs/2106.03149v3 | mIoU (val) | 18 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | ImageNet-S-300 | PASS | https://arxiv.org/abs/2106.03149v3 | mIoU (test) | 18.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DynaSeg - FSF (ResNet-18 FPN) | https://arxiv.org/abs/2405.05477v4 | Clustering [Accuracy] | 81.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DynaSeg - FSF (ResNet-18 FPN) | https://arxiv.org/abs/2405.05477v4 | Clustering [mIoU] | 54.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DiffCut | https://arxiv.org/abs/2406.02842v2 | Clustering [mIoU] | 49.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | CAUSE (DINOv2, ViT-B/14) | https://arxiv.org/abs/2310.07379v1 | Clustering [Accuracy] | 78.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | CAUSE (DINOv2, ViT-B/14) | https://arxiv.org/abs/2310.07379v1 | Clustering [mIoU] | 45.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | CAUSE (ViT-B/8) | https://arxiv.org/abs/2310.07379v1 | Clustering [Accuracy] | 74.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | CAUSE (ViT-B/8) | https://arxiv.org/abs/2310.07379v1 | Clustering [mIoU] | 41.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | U2Seg | https://arxiv.org/abs/2312.17243v1 | Clustering [Accuracy] | 63.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | U2Seg | https://arxiv.org/abs/2312.17243v1 | Clustering [mIoU] | 30.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PriMaPs+STEGO (DINO ViT-B/8) | https://arxiv.org/abs/2404.16818v2 | Clustering [Accuracy] | 57.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PriMaPs+STEGO (DINO ViT-B/8) | https://arxiv.org/abs/2404.16818v2 | Clustering [mIoU] | 29.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-B/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [Accuracy] | 58.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-B/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [mIoU] | 29.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-B/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [mIoU] | 41.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-B/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [Accuracy] | 75.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | STEGO (ViT-B/8) | https://arxiv.org/abs/2203.08414v1 | Clustering [Accuracy] | 56.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | STEGO (ViT-B/8) | https://arxiv.org/abs/2203.08414v1 | Clustering [mIoU] | 28.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EAGLE (DINO, ViT-S/8) | https://arxiv.org/abs/2403.01482v4 | Clustering [Accuracy] | 64.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EAGLE (DINO, ViT-S/8) | https://arxiv.org/abs/2403.01482v4 | Clustering [mIoU] | 27.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EAGLE (DINO, ViT-S/8) | https://arxiv.org/abs/2403.01482v4 | Linear Classifier [mIoU] | 43.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EAGLE (DINO, ViT-S/8) | https://arxiv.org/abs/2403.01482v4 | Linear Classifier [Accuracy] | 76.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | SmooSeg (DINO, ViT-S/8) | null | Clustering [Accuracy] | 63.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | SmooSeg (DINO, ViT-S/8) | null | Clustering [mIoU] | 26.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG w/ 3D-LHP (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [Accuracy] | 55.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG w/ 3D-LHP (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [mIoU] | 26.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG w/ 3D-LHP (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [mIoU] | 37.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG w/ 3D-LHP (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [Accuracy] | 73.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS | https://arxiv.org/abs/2312.07342v1 | Clustering [Accuracy] | 53.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS | https://arxiv.org/abs/2312.07342v1 | Clustering [mIoU] | 25.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS | https://arxiv.org/abs/2312.07342v1 | Linear Classifier [mIoU] | 41.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS | https://arxiv.org/abs/2312.07342v1 | Linear Classifier [Accuracy] | 75.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS (ViT-S) | https://arxiv.org/abs/2312.07342v1 | Clustering [Accuracy] | 53.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | EQUSS (ViT-S) | https://arxiv.org/abs/2312.07342v1 | Clustering [mIoU] | 25.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [Accuracy] | 56.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Clustering [mIoU] | 25.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [mIoU] | 38.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | DepthG (ViT-S/8) | https://arxiv.org/abs/2309.12378v2 | Linear Classifier [Accuracy] | 73.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PriMaPs+HP (DINO ViT-S/8) | https://arxiv.org/abs/2404.16818v2 | Clustering [Accuracy] | 57.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PriMaPs+HP (DINO ViT-S/8) | https://arxiv.org/abs/2404.16818v2 | Clustering [mIoU] | 25.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/8) | https://arxiv.org/abs/2303.15014v1 | Clustering [Accuracy] | 57.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/8) | https://arxiv.org/abs/2303.15014v1 | Clustering [mIoU] | 24.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/8) | https://arxiv.org/abs/2303.15014v1 | Linear Classifier [mIoU] | 42.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/8) | https://arxiv.org/abs/2303.15014v1 | Linear Classifier [Accuracy] | 75.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | STEGO (ViT-S/8) | https://arxiv.org/abs/2203.08414v1 | Clustering [mIoU] | 24.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | STEGO (ViT-S/8) | https://arxiv.org/abs/2203.08414v1 | Linear Classifier [mIoU] | 38.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | STEGO (ViT-S/8) | https://arxiv.org/abs/2203.08414v1 | Linear Classifier [Accuracy] | 74.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/16) | https://arxiv.org/abs/2303.15014v1 | Clustering [Accuracy] | 54.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/16) | https://arxiv.org/abs/2303.15014v1 | Clustering [mIoU] | 24.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/16) | https://arxiv.org/abs/2303.15014v1 | Linear Classifier [mIoU] | 39.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HP (ViT-S/16) | https://arxiv.org/abs/2303.15014v1 | Linear Classifier [Accuracy] | 74.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | CrOC (ViT-S/16, COCO+) | https://arxiv.org/abs/2303.13245v1 | Clustering [mIoU] | 21.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | ViCE | https://arxiv.org/abs/2111.12460v3 | Clustering [Accuracy] | 64.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | ViCE | https://arxiv.org/abs/2111.12460v3 | Clustering [mIoU] | 21.77 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | FS4 | https://arxiv.org/abs/2202.11981v1 | Clustering [Accuracy] | 40.38 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | FS4 | https://arxiv.org/abs/2202.11981v1 | Clustering [mIoU] | 15.69 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PiCIE + H | https://arxiv.org/abs/2103.17070v1 | Clustering [Accuracy] | 49.99 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PiCIE + H | https://arxiv.org/abs/2103.17070v1 | Clustering [mIoU] | 14.36 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | SGSeg | https://arxiv.org/abs/2210.11810v1 | Clustering [Accuracy] | 55.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | SAN | https://arxiv.org/abs/2211.14513v3 | Clustering [Accuracy] | 52.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | PiCIE | https://arxiv.org/abs/2103.17070v1 | Clustering [Accuracy] | 48.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | Ours (SlotCon) | https://arxiv.org/abs/2205.15288v2 | Clustering [Accuracy] | 42.36 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | IIC | https://arxiv.org/abs/1807.06653v4 | Clustering [Accuracy] | 21.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HCL (ViT-S/8) | https://www.sciencedirect.com/science/article/pii/S0031320325003735 | Linear Classifier [mIoU] | 47.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HCL (ViT-S/8) | https://www.sciencedirect.com/science/article/pii/S0031320325003735 | Linear Classifier [Accuracy] | 77.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HCL (ViT-S/16) | https://www.sciencedirect.com/science/article/pii/S0031320325003735 | Linear Classifier [mIoU] | 45.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation | COCO-Stuff-27 | HCL (ViT-S/16) | https://www.sciencedirect.com/science/article/pii/S0031320325003735 | Linear Classifier [Accuracy] | 76.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO (Common Objects in Context) | CLIPpy ViT-B | https://arxiv.org/abs/2210.09996v3 | Mean IoU (val) | 25.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 34.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | TextRegion | https://arxiv.org/abs/2505.23769v1 | mIoU | 31.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 28.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 26.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 25.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | mIoU | 23.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | mIoU | 23.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 22.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | mIoU | 19.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 16.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 14.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-171 | GroupViT | https://arxiv.org/abs/2202.11094v5 | mIoU | 11.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 49.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 42.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 39.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | mIoU | 37.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | CLS-SEG | https://arxiv.org/abs/2312.12828v1 | mIoU | 35.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 33.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 31.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | mIoU | 31.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | GroupViT (RedCaps) | https://arxiv.org/abs/2202.11094v5 | mIoU | 27.5 |
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