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 ⌀ |
|---|---|---|---|---|---|
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | PACS | SelfReg (ResNet18) | https://arxiv.org/abs/2104.09841v1 | Accuracy | 59.59 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | Crafting-Shifts(LeNet) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 82.61 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | ProRandConv (LeNet) | https://arxiv.org/abs/2304.00424v1 | Accuracy | 81.35 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | CADA (LeNet) | https://ieeexplore.ieee.org/document/10031006 | Accuracy | 80.56 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | MCL (LeNet) | https://arxiv.org/abs/2304.03709v1 | Accuracy | 78.82 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | MetaCNN (LeNet) | http://openaccess.thecvf.com//content/CVPR2022/html/Wan_Meta_Convolutional_Neural_Networks_for_Single_Domain_Generalization_CVPR_2022_paper.html | Accuracy | 78.76 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | ABA (LeNet) | https://arxiv.org/abs/2307.09520v2 | Accuracy | 76.72 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization | Digits-five | L2D (LeNet) | https://arxiv.org/abs/2108.11726v3 | Accuracy | 74.46 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | Crafting-Shifts(ResNet18) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 65.85 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | ProRandConv (ResNet18) | https://arxiv.org/abs/2304.00424v1 | Accuracy | 62.89 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | Crafting-Shifts(AlexNet) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 60.97 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | MCL (ResNet18) | https://arxiv.org/abs/2304.03709v1 | Accuracy | 59.6 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | ABA (ResNet18) | https://arxiv.org/abs/2307.09520v2 | Accuracy | 59.04 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | MetaCNN (AlexNet) | http://openaccess.thecvf.com//content/CVPR2022/html/Wan_Meta_Convolutional_Neural_Networks_for_Single_Domain_Generalization_CVPR_2022_paper.html | Accuracy | 57.17 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | CADA (ResNet18) | https://ieeexplore.ieee.org/document/10031006 | Accuracy | 56.65 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | PACS | PACS (AlexNet) | https://arxiv.org/abs/2108.11726v3 | Accuracy | 55.24 |
Domain Adaptation > Domain Generalization > Single-Source Domain Generalization > Photo to Rest Generalization | MiniDomainNet | Crafting-Shifts(ResNet18) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 57.35 |
Domain Adaptation > Test-time Adaptation | ImageNet-C | DeYO | https://arxiv.org/abs/2403.07366v1 | Mean Accuracy | 48.6 |
Domain Adaptation > Source-Free Domain Adaptation | PACS | SPM | https://arxiv.org/abs/2505.24216v1 | Average Accuracy | 86.7 |
Domain Adaptation > Source-Free Domain Adaptation | PACS | DRA | https://arxiv.org/abs/2504.13077v1 | Average Accuracy | 84.0 |
Domain Adaptation > Source-Free Domain Adaptation | PACS | NEL | https://openaccess.thecvf.com/content/WACV2022/html/Ahmed_Cleaning_Noisy_Labels_by_Negative_Ensemble_Learning_for_Source-Free_Unsupervised_WACV_2022_paper.html | Average Accuracy | 72.4 |
Domain Adaptation > Source-Free Domain Adaptation | SYNTHIA-to-Cityscapes | STPL | https://arxiv.org/abs/2303.14361v1 | mIoU | 51.8 |
Domain Adaptation > Source-Free Domain Adaptation | Cityscapes to Dark Zurich | CMA | https://arxiv.org/abs/2303.05194v3 | mIoU | 53.6 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | RCL | https://arxiv.org/abs/2405.18376v1 | Accuracy | 93.2 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | SFDA2++ | https://arxiv.org/abs/2403.10834v1 | Accuracy | 89.6 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | SPM | https://arxiv.org/abs/2505.24216v1 | Accuracy | 89.4 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | SFDA2 | https://arxiv.org/abs/2403.10834v1 | Accuracy | 88.1 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | C-SFDA | https://arxiv.org/abs/2303.17132v1 | Accuracy | 87.8 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | DaC | https://arxiv.org/abs/2211.06612v1 | Accuracy | 87.3 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | SHOT++ | https://arxiv.org/abs/2012.07297v3 | Accuracy | 87.3 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | NRC | https://arxiv.org/abs/2110.04202v3 | Accuracy | 85.9 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | G-SFDA | https://arxiv.org/abs/2108.01614v2 | Accuracy | 85.4 |
Domain Adaptation > Source-Free Domain Adaptation | VisDA-2017 | SHOT | https://arxiv.org/abs/2002.08546v6 | Accuracy | 82.9 |
Domain Adaptation > Source-Free Domain Adaptation | VIPER-to-Cityscapes | STPL | https://arxiv.org/abs/2303.14361v1 | mIoU | 52.5 |
Domain Adaptation > Source-Free Domain Adaptation | Cityscapes to ACDC | CMA | https://arxiv.org/abs/2303.05194v3 | mIoU | 69.1 |
Domain Adaptation > Source-Free Domain Adaptation | Cityscapes to ACDC | CMFormer | https://arxiv.org/abs/2307.00371v5 | mIoU | 60.1 |
Domain Adaptation > Source-Free Domain Adaptation | GTA5 to Cityscapes | HALO | https://arxiv.org/abs/2306.11180v5 | mIoU | 73.3 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | GT | https://arxiv.org/abs/2504.15404v1 | AP50 | 50.8 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | SF-UT | https://arxiv.org/abs/2407.07586v1 | AP50 | 45.0 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | LPLD | https://arxiv.org/abs/2407.13524v1 | AP50 | 40.9 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | PETS | https://arxiv.org/abs/2311.13930v1 | AP50 | 40.3 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | DACA | https://arxiv.org/abs/2402.06213v1 | AP50 | 39.9 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | HCL | https://arxiv.org/abs/2110.03374v6 | AP50 | 39.7 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | LPU | https://arxiv.org/abs/2310.12705v1 | AP50 | 38.8 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | IRG | https://arxiv.org/abs/2203.15793v4 | AP50 | 37.1 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | LODS | http://openaccess.thecvf.com//content/CVPR2022/html/Li_Source-Free_Object_Detection_by_Learning_To_Overlook_Domain_Style_CVPR_2022_paper.html | AP50 | 35.8 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | AASFOD | https://arxiv.org/abs/2301.04265v1 | AP50 | 35.4 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | MT | http://arxiv.org/abs/1703.01780v6 | AP50 | 34.3 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | SFOD-Mosaic | https://arxiv.org/abs/2012.05400v1 | AP50 | 33.5 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | Cityscapes to Foggy Cityscapes | SFOD | https://arxiv.org/abs/2012.05400v1 | AP50 | 30.6 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | R@0.05 | 0.06 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | R@0.3 | 0.45 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | R@0.5 | 0.65 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | R@1.0 | 0.92 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | AUC | 0.589 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | GT | https://arxiv.org/abs/2504.15404v1 | F1-score | 0.758 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | R@0.05 | 0.05 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | R@0.3 | 0.05 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | R@0.5 | 0.07 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | R@1.0 | 0.09 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | AUC | 0.110 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | IRG | https://arxiv.org/abs/2003.00707v2 | F1-score | 0.120 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | R@0.05 | 0.02 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | R@0.3 | 0.03 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | R@0.5 | 0.03 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | R@1.0 | 0.03 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | AUC | 0.060 |
Domain Adaptation > Source-Free Domain Adaptation > Source Free Object Detection | InBreast | Mexforer | https://arxiv.org/abs/2107.12636v4 | F1-score | 0.090 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | SynLiDAR-to-SemanticPOSS | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 39.1 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | nuScenes-to-SemanticKITTI | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 45.4 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | nuScenes-to-Pandaset | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 65.7 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | SynLiDAR-to-SemanticKITTI | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 32.4 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | nuScenes-to-SemanticPOSS | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 64.5 |
Domain Adaptation > Source-Free Domain Adaptation > 3D Source-Free Domain Adaptation | nuScenes-to-Waymo Open Dataset | TTYD | https://arxiv.org/abs/2409.04409v1 | mIoU | 55.5 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UniAM | https://arxiv.org/abs/2304.11862v4 | H-score | 95.95 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UniAM | https://arxiv.org/abs/2304.11862v4 | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | MLNet | https://arxiv.org/abs/2312.07871v4 | H-score | 92.8 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | MLNet | https://arxiv.org/abs/2312.07871v4 | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | SAN | http://openaccess.thecvf.com//content/ICCV2023/html/Zang_Boosting_Novel_Category_Discovery_Over_Domains_with_Soft_Contrastive_Learning_ICCV_2023_paper.html | H-score | 91.8 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | SAN | http://openaccess.thecvf.com//content/ICCV2023/html/Zang_Boosting_Novel_Category_Discovery_Over_Domains_with_Soft_Contrastive_Learning_ICCV_2023_paper.html | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UniOT | https://arxiv.org/abs/2210.17067v2 | H-score | 91.13 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UniOT | https://arxiv.org/abs/2210.17067v2 | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | GLC | https://arxiv.org/abs/2303.07110v1 | H-score | 87.8 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | GLC | https://arxiv.org/abs/2303.07110v1 | Source-Free | yes |
Domain Adaptation > Universal Domain Adaptation | Office-31 | LEAD | https://arxiv.org/abs/2403.03421v1 | H-score | 87.8 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | LEAD | https://arxiv.org/abs/2403.03421v1 | Source-Free | yes |
Domain Adaptation > Universal Domain Adaptation | Office-31 | GATE | http://openaccess.thecvf.com//content/CVPR2022/html/Chen_Geometric_Anchor_Correspondence_Mining_With_Uncertainty_Modeling_for_Universal_Domain_CVPR_2022_paper.html | H-score | 87.6 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | GATE | http://openaccess.thecvf.com//content/CVPR2022/html/Chen_Geometric_Anchor_Correspondence_Mining_With_Uncertainty_Modeling_for_Universal_Domain_CVPR_2022_paper.html | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UMAD | https://arxiv.org/abs/2112.08553v1 | H-score | 87.0 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UMAD | https://arxiv.org/abs/2112.08553v1 | Source-Free | yes |
Domain Adaptation > Universal Domain Adaptation | Office-31 | OVANet | https://arxiv.org/abs/2104.03344v4 | H-score | 86.5 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | OVANet | https://arxiv.org/abs/2104.03344v4 | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | DCC | http://www.guangrui.li/papers/guangruiCVPR2021.pdf | H-score | 80.16 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | DCC | http://www.guangrui.li/papers/guangruiCVPR2021.pdf | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | CMU | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/2396_ECCV_2020_paper.php | H-score | 73.14 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | CMU | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/2396_ECCV_2020_paper.php | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UAN | http://openaccess.thecvf.com/content_CVPR_2019/html/You_Universal_Domain_Adaptation_CVPR_2019_paper.html | H-score | 63.46 |
Domain Adaptation > Universal Domain Adaptation | Office-31 | UAN | http://openaccess.thecvf.com/content_CVPR_2019/html/You_Universal_Domain_Adaptation_CVPR_2019_paper.html | Source-Free | no |
Domain Adaptation > Universal Domain Adaptation | Office-Home | TASC | https://arxiv.org/abs/2506.03521v1 | H-Score | 89.44 |
Domain Adaptation > Universal Domain Adaptation | Office-Home | TASC | https://arxiv.org/abs/2506.03521v1 | Source-free | no |
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