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 ⌀ |
|---|---|---|---|---|---|
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | UniHCP (FT) | https://arxiv.org/abs/2303.02936v4 | Accuracy | 88.78% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | C2T-Net | https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Bui_C2T-Net_Channel-Aware_Cross-Fused_Transformer-Style_Networks_for_Pedestrian_Attribute_Recognition_WACVW_2024_paper.html | Accuracy | 88.20% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | Attribute-Specific Localization | https://arxiv.org/abs/1910.04562v1 | Accuracy | 79.52% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | ALM[tang2019Improving] (ICCV19) | https://arxiv.org/abs/2005.11909v2 | Accuracy | 79.52% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | strongbaseline | https://arxiv.org/abs/2005.11909v2 | Accuracy | 79.14% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PETA | HP-net | http://arxiv.org/abs/1709.09930v1 | Accuracy | 76.13% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | PATH (Partial FT) | https://arxiv.org/abs/2303.05675v1 | Accuracy | 90.8 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Hulk(Finetune, ViT-L) | https://arxiv.org/abs/2312.01697v4 | Accuracy | 88.97 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Hulk(Finetune, ViT-B) | https://arxiv.org/abs/2312.01697v4 | Accuracy | 87.85 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | C2T-Net | https://openaccess.thecvf.com/content/WACV2024W/RWS/html/Bui_C2T-Net_Channel-Aware_Cross-Fused_Transformer-Style_Networks_for_Pedestrian_Attribute_Recognition_WACVW_2024_paper.html | Accuracy | 87.2 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | SOLIDER | https://arxiv.org/abs/2303.17602v1 | Accuracy | 86.38 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | UniHCP (finetune) | https://arxiv.org/abs/2303.02936v4 | Accuracy | 86.18 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | APTM | https://arxiv.org/abs/2306.02898v4 | Accuracy | 80.17 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Label2Label | https://arxiv.org/abs/2207.08677v1 | Accuracy | 79.23 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | strongBaseline(ours) | https://arxiv.org/abs/2005.11909v2 | Accuracy | 78.56 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Attribute-Specific Localization | https://arxiv.org/abs/1910.04562v1 | Accuracy | 77.08% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | HP-net | http://arxiv.org/abs/1709.09930v1 | Accuracy | 72.19% |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | Accuracy | 89.8 |
Autonomous Vehicles > Pedestrian Attribute Recognition | PA-100K | Attivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | F1 score | 93.1 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAPv2 | Hulk(Finetune, ViT-L) | https://arxiv.org/abs/2312.01697v4 | Accuracy | 85.86 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAPv2 | Hulk(Finetune, ViT-B) | https://arxiv.org/abs/2312.01697v4 | Accuracy | 85.26 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAPv2 | UniHCP (finetune) | https://arxiv.org/abs/2303.02936v4 | Accuracy | 82.34 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAPv2 | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | F1 score | 89.1 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAPv2 | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | Accuracy | 84.2 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UPAR | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | F1 score | 91.9 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UPAR | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | Accuracy | 89.4 |
Autonomous Vehicles > Pedestrian Attribute Recognition | Market1501-Attributes | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | F1 score | 88.8 |
Autonomous Vehicles > Pedestrian Attribute Recognition | Market1501-Attributes | Attrivision | https://openaccess.thecvf.com/content/WACV2025W/V3SC/html/Sedeh_AttriVision_Advancing_Generalization_in_Pedestrian_Attribute_Recognition_using_CLIP_WACVW_2025_paper.html | Accuracy | 83.8 |
Autonomous Vehicles > Pedestrian Attribute Recognition | DukeMTMC-attribute | MBNET | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4373086 | Accuracy | 91.13 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | Gender | 75.0 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | Hat | 67.2 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | UCC | 49.8 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | UCS | 73.0 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | LCC | 54.6 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | LCS | 68.9 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | DenseNet | http://arxiv.org/abs/1608.06993v5 | Backpack | 63.9 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | Gender | 74.7 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | Hat | 65.2 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | UCC | 44.4 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | UCS | 68.9 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | LCC | 49.7 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | LCS | 69.3 |
Autonomous Vehicles > Pedestrian Attribute Recognition | UAV-Human | ResNet | http://arxiv.org/abs/1512.03385v1 | Backpack | 63.5 |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAP | Attribute-Specific Localization | https://arxiv.org/abs/1910.04562v1 | Accuracy | 68.17% |
Autonomous Vehicles > Pedestrian Attribute Recognition | RAP | HP-net | http://arxiv.org/abs/1709.09930v1 | Accuracy | 65.39% |
Autonomous Vehicles > 3D Car Instance Understanding | ApolloCar3D | BAAM | http://openaccess.thecvf.com//content/CVPR2023/html/Lee_BAAM_Monocular_3D_Pose_and_Shape_Reconstruction_With_Bi-Contextual_Attention_CVPR_2023_paper.html | A3DP | 22.85 |
Autonomous Vehicles > 3D Car Instance Understanding | ApolloCar3D | GSNet | https://arxiv.org/abs/2007.13124v1 | A3DP | 20.21 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA | https://arxiv.org/abs/2406.10165v1 | Driving Score | 6.87 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA | https://arxiv.org/abs/2406.10165v1 | Route Completion | 18.08 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA | https://arxiv.org/abs/2406.10165v1 | Infraction Score | 0.42 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA (Map Track) | https://arxiv.org/abs/2406.10165v1 | Driving Score | 6.25 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA (Map Track) | https://arxiv.org/abs/2406.10165v1 | Route Completion | 18.89 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | CarLLaVA (Map Track) | https://arxiv.org/abs/2406.10165v1 | Infraction Score | 0.39 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ (Map Track) | https://arxiv.org/abs/2306.07957v2 | Driving Score | 5.56 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ (Map Track) | https://arxiv.org/abs/2306.07957v2 | Route Completion | 11.82 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ (Map Track) | https://arxiv.org/abs/2306.07957v2 | Infraction Score | 0.47 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ | https://arxiv.org/abs/2306.07957v2 | Driving Score | 5.18 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ | https://arxiv.org/abs/2306.07957v2 | Route Completion | 11.34 |
Autonomous Vehicles > CARLA Leaderboard 2.0 | CARLA | TF++ | https://arxiv.org/abs/2306.07957v2 | Infraction Score | 0.48 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | AUC | 0.839 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | f-Score | 0.341 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | Intersection over Union | 0.233 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | DF-Net | https://arxiv.org/abs/2503.22398v1 | AUC | 0.765 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | DF-Net | https://arxiv.org/abs/2503.22398v1 | f-Score | 0.361 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | DF-Net | https://arxiv.org/abs/2503.22398v1 | Intersection over Union | 0.249 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | AUC | 0.616 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | f-Score | 0.081 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | Intersection over Union | 0.052 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ForSim | https://arxiv.org/abs/1902.04684v2 | AUC | 0.542 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ForSim | https://arxiv.org/abs/1902.04684v2 | f-Score | 0.233 |
Image Manipulation Detection | DSO (OSN-transmitted - Whatsapp) | ForSim | https://arxiv.org/abs/1902.04684v2 | Intersection over Union | 0.139 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | DF-Net | https://arxiv.org/abs/2503.22398v1 | AUC | 0.902 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | DF-Net | https://arxiv.org/abs/2503.22398v1 | f-Score | 0.564 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | DF-Net | https://arxiv.org/abs/2503.22398v1 | Intersection over Union | 0.467 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | AUC | 0.833 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | f-Score | 0.358 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | Wu22 | http://openaccess.thecvf.com//content/CVPR2022/html/Wu_Robust_Image_Forgery_Detection_Over_Online_Social_Network_Shared_Images_CVPR_2022_paper.html | Intersection over Union | 0.405 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | AUC | 0.724 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | f-Score | 0.048 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ManTra-Net | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | Intersection over Union | 0.080 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ForSim | https://arxiv.org/abs/1902.04684v2 | AUC | 0.532 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ForSim | https://arxiv.org/abs/1902.04684v2 | f-Score | 0.091 |
Image Manipulation Detection | CASIA (OSN-transmitted - Wechat) | ForSim | https://arxiv.org/abs/1902.04684v2 | Intersection over Union | 0.153 |
Image Manipulation Detection | COVERAGE | Early Fusion | https://arxiv.org/abs/2312.01790v2 | AUC | .839 |
Image Manipulation Detection | COVERAGE | Early Fusion | https://arxiv.org/abs/2312.01790v2 | Balanced Accuracy | .770 |
Image Manipulation Detection | COVERAGE | Late Fusion | https://arxiv.org/abs/2312.01790v2 | AUC | .792 |
Image Manipulation Detection | COVERAGE | Late Fusion | https://arxiv.org/abs/2312.01790v2 | Balanced Accuracy | .720 |
Image Manipulation Detection | COVERAGE | TruFor | https://arxiv.org/abs/2212.10957v3 | AUC | .770 |
Image Manipulation Detection | COVERAGE | TruFor | https://arxiv.org/abs/2212.10957v3 | Balanced Accuracy | .680 |
Image Manipulation Detection | COVERAGE | CAT-Net v2 | https://arxiv.org/abs/2108.12947v2 | AUC | .680 |
Image Manipulation Detection | COVERAGE | CAT-Net v2 | https://arxiv.org/abs/2108.12947v2 | Balanced Accuracy | .635 |
Image Manipulation Detection | COVERAGE | MVSS-Net | https://arxiv.org/abs/2104.06832v2 | AUC | .733 |
Image Manipulation Detection | COVERAGE | MVSS-Net | https://arxiv.org/abs/2104.06832v2 | Balanced Accuracy | .514 |
Image Manipulation Detection | COVERAGE | ManTraNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | AUC | .760 |
Image Manipulation Detection | COVERAGE | ManTraNet | http://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html | Balanced Accuracy | .500 |
Image Manipulation Detection | COVERAGE | CR-CNN | https://arxiv.org/abs/1911.08217v3 | AUC | .553 |
Image Manipulation Detection | COVERAGE | CR-CNN | https://arxiv.org/abs/1911.08217v3 | Balanced Accuracy | .391 |
Image Manipulation Detection | COVERAGE | SPAN | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/3720_ECCV_2020_paper.php | AUC | .670 |
Image Manipulation Detection | COVERAGE | SPAN | https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/3720_ECCV_2020_paper.php | Balanced Accuracy | .235 |
Image Manipulation Detection | Columbia (OSN-transmitted - Weibo) | DF-Net | https://arxiv.org/abs/2503.22398v1 | AUC | 0.890 |
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