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 ⌀ |
|---|---|---|---|---|---|
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | S-measure | 0.734 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | weighted F-measure | 0.476 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.010 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | mDice | 0.497 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | mIoU | 0.422 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | STL-Net-LT-PVTv2-B5 | https://arxiv.org/abs/2203.07363v2 | S-measure | 0.631 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | STL-Net-LT-PVTv2-B5 | https://arxiv.org/abs/2203.07363v2 | weighted F-measure | 0.311 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | STL-Net-LT-PVTv2-B5 | https://arxiv.org/abs/2203.07363v2 | MAE | 0.027 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | STL-Net-LT-PVTv2-B5 | https://arxiv.org/abs/2203.07363v2 | mDice | 0.360 |
16k > Object Detection > Camouflaged Object Segmentation | MoCA-Mask | STL-Net-LT-PVTv2-B5 | https://arxiv.org/abs/2203.07363v2 | mIoU | 0.272 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | BiRefNet | https://arxiv.org/abs/2401.03407v6 | S-measure | 0.932 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | BiRefNet | https://arxiv.org/abs/2401.03407v6 | weighted F-measure | 0.914 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | BiRefNet | https://arxiv.org/abs/2401.03407v6 | MAE | 0.015 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | S-measure | 0.925 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | weighted F-measure | 0.897 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.016 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | S-measure | 0.924 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | weighted F-measure | 0.885 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.018 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | FOCUS | https://arxiv.org/abs/2501.05238v1 | S-measure | 0.922 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | FOCUS | https://arxiv.org/abs/2501.05238v1 | weighted F-measure | 0.908 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | FOCUS | https://arxiv.org/abs/2501.05238v1 | MAE | 0.017 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | S-measure | 0.908 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | weighted F-measure | 0.858 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.021 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | SINetV2-Res2Net-50 | https://arxiv.org/abs/2102.10274v2 | S-measure | 0.888 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | SINetV2-Res2Net-50 | https://arxiv.org/abs/2102.10274v2 | weighted F-measure | 0.816 |
16k > Object Detection > Camouflaged Object Segmentation | CHAMELEON | SINetV2-Res2Net-50 | https://arxiv.org/abs/2102.10274v2 | MAE | 0.030 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BiRefNet | https://arxiv.org/abs/2401.03407v6 | MAE | 0.014 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BiRefNet | https://arxiv.org/abs/2401.03407v6 | Weighted F-Measure | 0.874 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BiRefNet | https://arxiv.org/abs/2401.03407v6 | S-Measure | 0.913 |
16k > Object Detection > Camouflaged Object Segmentation | COD | FOCUS | https://arxiv.org/abs/2501.05238v1 | MAE | 0.013 |
16k > Object Detection > Camouflaged Object Segmentation | COD | FOCUS | https://arxiv.org/abs/2501.05238v1 | Weighted F-Measure | 0.883 |
16k > Object Detection > Camouflaged Object Segmentation | COD | FOCUS | https://arxiv.org/abs/2501.05238v1 | S-Measure | 0.910 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.017 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.838 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | S-Measure | 0.898 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.018 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.827 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | S-Measure | 0.898 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.026 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.768 |
16k > Object Detection > Camouflaged Object Segmentation | COD | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | S-Measure | 0.861 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv2 | https://arxiv.org/abs/2305.18476v1 | MAE | 0.029 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv2 | https://arxiv.org/abs/2305.18476v1 | Weighted F-Measure | 0.746 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv2 | https://arxiv.org/abs/2305.18476v1 | S-Measure | 0.843 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv1 | https://arxiv.org/abs/2303.10883v2 | MAE | 0.029 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv1 | https://arxiv.org/abs/2303.10883v2 | Weighted F-Measure | 0.742 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EVPv1 | https://arxiv.org/abs/2303.10883v2 | S-Measure | 0.843 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet* | https://arxiv.org/abs/2102.10274v2 | MAE | 0.051 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet* | https://arxiv.org/abs/2102.10274v2 | Weighted F-Measure | 0.551 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet* | https://arxiv.org/abs/2102.10274v2 | S-Measure | 0.771 |
16k > Object Detection > Camouflaged Object Segmentation | COD | CPD | http://arxiv.org/abs/1904.08739v1 | MAE | 0.059 |
16k > Object Detection > Camouflaged Object Segmentation | COD | CPD | http://arxiv.org/abs/1904.08739v1 | Weighted F-Measure | 0.508 |
16k > Object Detection > Camouflaged Object Segmentation | COD | CPD | http://arxiv.org/abs/1904.08739v1 | S-Measure | 0.747 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EGNet | http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html | MAE | 0.056 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EGNet | http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html | Weighted F-Measure | 0.509 |
16k > Object Detection > Camouflaged Object Segmentation | COD | EGNet | http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html | S-Measure | 0.737 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet | http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html | MAE | 0.092 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet | http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html | Weighted F-Measure | 0.352 |
16k > Object Detection > Camouflaged Object Segmentation | COD | SINet | http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html | S-Measure | 0.685 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BASNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html | MAE | 0.092 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BASNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html | Weighted F-Measure | 0.352 |
16k > Object Detection > Camouflaged Object Segmentation | COD | BASNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html | S-Measure | 0.685 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | CMX | https://arxiv.org/abs/2203.04838v5 | S-Measure | 0.922 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | PGSNet | http://openaccess.thecvf.com//content/CVPR2022/html/Mei_Glass_Segmentation_Using_Intensity_and_Spectral_Polarization_Cues_CVPR_2022_paper.html | S-Measure | 0.916 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | PraNet | https://arxiv.org/abs/2006.11392v4 | S-Measure | 0.904 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | ZoomNet | https://arxiv.org/abs/2203.02688v1 | S-Measure | 0.897 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | C2FNet-V2 | https://arxiv.org/abs/2207.13362v1 | S-Measure | 0.895 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | C2FNet | https://arxiv.org/abs/2105.12555v1 | S-Measure | 0.893 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | LSR | https://arxiv.org/abs/2103.04011v2 | S-Measure | 0.888 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | F3Net | https://arxiv.org/abs/1911.11445v1 | S-Measure | 0.885 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | SINet-V2 | https://arxiv.org/abs/2102.10274v2 | S-Measure | 0.882 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | PFNet | https://arxiv.org/abs/2104.10475v1 | S-Measure | 0.873 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | SINet-V1 | http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html | S-Measure | 0.862 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | EGNet | http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html | S-Measure | 0.861 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | CPD | http://arxiv.org/abs/1904.08739v1 | S-Measure | 0.855 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | BASNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html | S-Measure | 0.837 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | ERRNet | https://arxiv.org/abs/2111.03216v1 | S-Measure | 0.833 |
16k > Object Detection > Camouflaged Object Segmentation | PCOD_1200 | UNet++ | http://arxiv.org/abs/1807.10165v1 | S-Measure | 0.801 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | FOCUS | https://arxiv.org/abs/2501.05238v1 | MAE | 0.025 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | FOCUS | https://arxiv.org/abs/2501.05238v1 | Weighted F-Measure | 0.904 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | FOCUS | https://arxiv.org/abs/2501.05238v1 | S-Measure | 0.912 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | BiRefNet | https://arxiv.org/abs/2401.03407v6 | MAE | 0.030 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | BiRefNet | https://arxiv.org/abs/2401.03407v6 | Weighted F-Measure | 0.890 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | BiRefNet | https://arxiv.org/abs/2401.03407v6 | S-Measure | 0.904 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.041 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.857 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B5 | https://arxiv.org/abs/2310.20208v4 | S-Measure | 0.889 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.04 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.859 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-PVTv2-B4 | https://arxiv.org/abs/2310.20208v4 | S-Measure | 0.888 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv2 | https://arxiv.org/abs/2305.18476v1 | MAE | 0.058 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv2 | https://arxiv.org/abs/2305.18476v1 | Weighted F-Measure | 0.786 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv2 | https://arxiv.org/abs/2305.18476v1 | S-Measure | 0.848 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv1 | https://arxiv.org/abs/2303.10883v2 | MAE | 0.059 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv1 | https://arxiv.org/abs/2303.10883v2 | Weighted F-Measure | 0.777 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | EVPv1 | https://arxiv.org/abs/2303.10883v2 | S-Measure | 0.846 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | MAE | 0.065 |
16k > Object Detection > Camouflaged Object Segmentation | CAMO | ZoomNeXt-ResNet-50 | https://arxiv.org/abs/2310.20208v4 | Weighted F-Measure | 0.774 |
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