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 > Unsupervised Domain Adaptation | Market to Duke | UDAP | http://arxiv.org/abs/1807.11334v1 | rank-1 | 68.4 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UDAP | http://arxiv.org/abs/1807.11334v1 | rank-5 | 80.1 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UDAP | http://arxiv.org/abs/1807.11334v1 | rank-10 | 83.5 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | PDA-Net | https://arxiv.org/abs/1909.09675v1 | mAP | 45.1 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | PDA-Net | https://arxiv.org/abs/1909.09675v1 | rank-1 | 63.2 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | PDA-Net | https://arxiv.org/abs/1909.09675v1 | rank-5 | 77.0 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | PDA-Net | https://arxiv.org/abs/1909.09675v1 | rank-10 | 82.5 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CBN+ECN | https://arxiv.org/abs/2001.08680v3 | mAP | 44.9 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CBN+ECN | https://arxiv.org/abs/2001.08680v3 | rank-1 | 68 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CBN+ECN | https://arxiv.org/abs/2001.08680v3 | rank-5 | 80 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CBN+ECN | https://arxiv.org/abs/2001.08680v3 | rank-10 | 83.9 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | ENC | http://arxiv.org/abs/1904.01990v1 | mAP | 40.4 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | ENC | http://arxiv.org/abs/1904.01990v1 | rank-1 | 63.3 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UCDA | https://arxiv.org/abs/1904.03425v2 | mAP | 31.0 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UCDA | https://arxiv.org/abs/1904.03425v2 | rank-1 | 47.7 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UCDA | https://arxiv.org/abs/1904.03425v2 | rank-5 | - |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | UCDA | https://arxiv.org/abs/1904.03425v2 | rank-10 | - |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CFSM | http://arxiv.org/abs/1812.02605v1 | mAP | 27.3 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CFSM | http://arxiv.org/abs/1812.02605v1 | rank-1 | 49.8 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CFSM | http://arxiv.org/abs/1812.02605v1 | rank-5 | - |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | CFSM | http://arxiv.org/abs/1812.02605v1 | rank-10 | - |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | DG-Net | https://arxiv.org/abs/1904.07223v3 | mAP | 24.25 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | DG-Net | https://arxiv.org/abs/1904.07223v3 | rank-1 | 42.62 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | DG-Net | https://arxiv.org/abs/1904.07223v3 | rank-5 | 58.57 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | DG-Net | https://arxiv.org/abs/1904.07223v3 | rank-10 | 64.63 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | TJ-AIDL | http://arxiv.org/abs/1803.09786v1 | mAP | 23.0 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | TJ-AIDL | http://arxiv.org/abs/1803.09786v1 | rank-1 | 44.3 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | TJ-AIDL | http://arxiv.org/abs/1803.09786v1 | rank-5 | 59.6 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | TJ-AIDL | http://arxiv.org/abs/1803.09786v1 | rank-10 | 65.0 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | SPGAN | http://arxiv.org/abs/1711.07027v3 | mAP | 22.3 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | SPGAN | http://arxiv.org/abs/1711.07027v3 | rank-1 | 41.1 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | SPGAN | http://arxiv.org/abs/1711.07027v3 | rank-5 | 56.6 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | SPGAN | http://arxiv.org/abs/1711.07027v3 | rank-10 | 63.0 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | OG-Net | https://arxiv.org/abs/2006.04569v3 | mAP | 13.7 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | OG-Net | https://arxiv.org/abs/2006.04569v3 | rank-1 | 26.4 |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | OG-Net | https://arxiv.org/abs/2006.04569v3 | rank-5 | - |
Domain Adaptation > Unsupervised Domain Adaptation | Market to Duke | OG-Net | https://arxiv.org/abs/2006.04569v3 | rank-10 | - |
Domain Adaptation > Unsupervised Domain Adaptation | UDA-CH | DA-RetinaNet | https://arxiv.org/abs/2008.01882v3 | mAP@0.50 | 58.01 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | TranSVAE | null | Accuracy | 98.95 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | CoMix | https://arxiv.org/abs/2110.15128v1 | Accuracy | 93.87 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | SAVA | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/1712_ECCV_2020_paper.php | Accuracy | 91.24 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | TA3N | https://arxiv.org/abs/1907.12743v6 | Accuracy | 90.54 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | ADDA | http://arxiv.org/abs/1702.05464v1 | Accuracy | 88.44 |
Domain Adaptation > Unsupervised Domain Adaptation | HMDB-UCF | DANN | http://arxiv.org/abs/1505.07818v4 | Accuracy | 88.09 |
Domain Adaptation > Unsupervised Domain Adaptation | Vehicle to VERI-Wild | CORE-ReID V2 | https://www.mdpi.com/3042-5999/1/1/4 | mAP | 40.2 |
Domain Adaptation > Unsupervised Domain Adaptation | Kitti to Cityscapes | RT-DATR(real-time, 640x640) | https://arxiv.org/abs/2504.09196v1 | mAP@0.5 | 50.3 |
Domain Adaptation > Unsupervised Domain Adaptation | Kitti to Cityscapes | ViSGA | https://arxiv.org/abs/2110.01428v1 | mAP@0.5 | 47.6 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | Model soups (ViT-G/14) | https://arxiv.org/abs/2203.05482v3 | Top 1 Error | 4.54 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | EfficientNet-L2 Noisy Student + RPL | https://arxiv.org/abs/2104.12928v4 | Top 1 Error | 17.4 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | EfficientNet-L2 Noisy Student + ENT | https://arxiv.org/abs/2104.12928v4 | Top 1 Error | 19.7 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, | https://arxiv.org/abs/2006.16971v2 | Top 1 Error | 44.0 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | ResNet50+DeepAug+Augmix, BatchNorm adaptation | https://arxiv.org/abs/2006.16971v2 | Top 1 Error | 48.9 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | ResNet50 + RPL | https://arxiv.org/abs/2104.12928v4 | Top 1 Error | 54.1 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | ResNet50 + ENT | https://arxiv.org/abs/2104.12928v4 | Top 1 Error | 56.1 |
Domain Adaptation > Unsupervised Domain Adaptation | ImageNet-R | ResNet50, BatchNorm adaptation | https://arxiv.org/abs/2006.16971v2 | Top 1 Error | 59.9 |
Domain Adaptation > Unsupervised Domain Adaptation | BDD100k to Cityscapes | RT-DATR(real-time, 640x640，R-34) | https://arxiv.org/abs/2504.09196v1 | mAP | 46.5 |
Domain Adaptation > Unsupervised Domain Adaptation | BDD100k to Cityscapes | DDT(R-101) | https://arxiv.org/abs/2506.04211v1 | mAP | 43.4 |
Domain Adaptation > Unsupervised Domain Adaptation | BDD100k to Cityscapes | AWADA | https://arxiv.org/abs/2208.14662v1 | mAP | 31.5 |
Domain Adaptation > Unsupervised Domain Adaptation | BDD100k to Cityscapes | ILLUME | https://openaccess.thecvf.com/content/WACV2022/html/Khindkar_To_Miss-Attend_Is_to_Misalign_Residual_Self-Attentive_Feature_Alignment_for_WACV_2022_paper.html | mAP | 29.6 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | FFTAT | https://arxiv.org/abs/2411.07794v1 | Accuracy | 93.8 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | RCL | https://arxiv.org/abs/2405.18376v1 | Accuracy | 93.2 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | TransAdapter | https://arxiv.org/abs/2412.04073v1 | Accuracy | 91.2 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | SAMB | https://arxiv.org/abs/2212.02739v1 | Accuracy | 90.41 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | PDA (CLIP, ViT-B/16) | https://arxiv.org/abs/2312.09553v2 | Accuracy | 89.7 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | SFDA2++ | https://arxiv.org/abs/2403.10834v1 | Accuracy | 89.6 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | PMTrans | https://arxiv.org/abs/2303.13434v2 | Accuracy | 88.8 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | SSRT-B (ours) | https://arxiv.org/abs/2204.07683v1 | Accuracy | 88.76 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | SFDA2 | https://arxiv.org/abs/2403.10834v1 | Accuracy | 88.1 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | PDA (CLIP, ResNet-101) | https://arxiv.org/abs/2312.09553v2 | Accuracy | 86.4 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | Implicit Alignment (with MDD) | https://arxiv.org/abs/2006.04996v1 | Accuracy | 75.8 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | DeepJDOT | http://arxiv.org/abs/1803.10081v3 | Accuracy | 66.9 |
Domain Adaptation > Unsupervised Domain Adaptation | VisDA2017 | DisClusterDA | https://arxiv.org/abs/2302.11984v1 | Average Accuracy | 87.1 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DCF | https://arxiv.org/abs/2311.12682v1 | mIoU (13 classes) | 75.9 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DCF | https://arxiv.org/abs/2311.12682v1 | mIoU | 69.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DCF | https://arxiv.org/abs/2311.12682v1 | MIoU (16 classes) | 69.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | MIC+CSI | https://arxiv.org/abs/2408.02261v1 | mIoU (13 classes) | 75.9 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | MIC+CSI | https://arxiv.org/abs/2408.02261v1 | mIoU | 68.8 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | MIC+CSI | https://arxiv.org/abs/2408.02261v1 | mIoU (19 classes) | 67.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | HRDA + PiPa | https://arxiv.org/abs/2211.07609v1 | mIoU (13 classes) | 74.8 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | MIC | https://arxiv.org/abs/2212.01322v2 | mIoU (13 classes) | 74.0 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | MIC | https://arxiv.org/abs/2212.01322v2 | mIoU | 67.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | HRDA | https://arxiv.org/abs/2204.13132v2 | mIoU (13 classes) | 72.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | HRDA | https://arxiv.org/abs/2204.13132v2 | mIoU | 65.8 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | SePiCo | https://arxiv.org/abs/2204.08808v2 | mIoU (13 classes) | 71.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DIDA | https://arxiv.org/abs/2307.07972v2 | mIoU (13 classes) | 70.1 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DIDA | https://arxiv.org/abs/2307.07972v2 | mIoU | 63.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DIDA | https://arxiv.org/abs/2307.07972v2 | MIoU (16 classes) | 63.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DAFormer + ProCST | https://arxiv.org/abs/2204.11891v2 | mIoU (13 classes) | 68.2 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | Sepico + HIAST | https://arxiv.org/abs/2302.06992v1 | mIoU (13 classes) | 68.1 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | Sepico + HIAST | https://arxiv.org/abs/2302.06992v1 | MIoU (16 classes) | 59.6 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DAFormer | https://arxiv.org/abs/2111.14887v2 | mIoU (13 classes) | 67.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | DAFormer | https://arxiv.org/abs/2111.14887v2 | mIoU | 60.9 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | SePiCo (DeepLabv2 ResNet-101) | https://arxiv.org/abs/2204.08808v2 | mIoU (13 classes) | 66.5 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | TransDA-B | https://arxiv.org/abs/2203.07988v1 | mIoU (13 classes) | 66.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | G2L | https://www.sciencedirect.com/science/article/pii/S1877050922012170 | mIoU (13 classes) | 64.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | G2L | https://www.sciencedirect.com/science/article/pii/S1877050922012170 | mIoU | 56.8 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | FAFS | https://ieeexplore.ieee.org/document/9888149 | mIoU (13 classes) | 61.4 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | FAFS | https://ieeexplore.ieee.org/document/9888149 | mIoU | 54.5 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | AdaptSeg + HIAST | https://arxiv.org/abs/2302.06992v1 | mIoU (13 classes) | 60.3 |
Domain Adaptation > Unsupervised Domain Adaptation | SYNTHIA-to-Cityscapes | AdaptSeg + HIAST | https://arxiv.org/abs/2302.06992v1 | MIoU (16 classes) | 53.5 |
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