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 > Autonomous Driving > NavSim | OpenScene | Epona | null | PDMS | 86.2 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | DRAMA | null | PDMS | 85.5 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | World4Drive | null | PDMS | 85.1 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | LAW | https://arxiv.org/abs/2406.08481v1 | PDMS | 84.6 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | TransFuser | https://arxiv.org/abs/2205.15997v1 | PDMS | 84.0 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | PARA-Drive | http://openaccess.thecvf.com//content/CVPR2024/html/Weng_PARA-Drive_Parallelized_Architecture_for_Real-time_Autonomous_Driving_CVPR_2024_paper.html | PDMS | 84.0 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | Latent TransFuser | https://arxiv.org/abs/2205.15997v1 | PDMS | 83.8 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | UniAD | https://arxiv.org/abs/2212.10156v2 | PDMS | 83.4 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | InternVL3 | https://arxiv.org/abs/2506.08052v1 | PDMS | 83.3 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | QwenVL2.5 | https://arxiv.org/abs/2506.08052v1 | PDMS | 83.3 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | DrivingGPT | https://arxiv.org/abs/2412.18607v1 | PDMS | 82.4 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | VAD-v2 | https://arxiv.org/abs/2402.13243v1 | PDMS | 80.9 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | Ego Status MLP | https://arxiv.org/abs/2406.15349v2 | PDMS | 65.6 |
Autonomous Vehicles > Autonomous Driving > NavSim | OpenScene | Constant Velocity | https://arxiv.org/abs/2406.15349v2 | PDMS | 20.6 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Map TF++ | https://arxiv.org/abs/2306.07957v2 | Driving score | 61.17 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Map TF++ | https://arxiv.org/abs/2306.07957v2 | Route completion | 81.81 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Map TF++ | https://arxiv.org/abs/2306.07957v2 | Infraction penalty | 0.70 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN+ (TPlanner) | null | Driving score | 59.85 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN+ (TPlanner) | null | Route completion | 82.81 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN+ (TPlanner) | null | Infraction penalty | 0.71 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | VinFast - PaaS | null | Driving score | 48.24 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | VinFast - PaaS | null | Route completion | 60.58 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | VinFast - PaaS | null | Infraction penalty | 0.84 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | GRI-based DRL | https://arxiv.org/abs/2111.08575v2 | Driving score | 33.785 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | GRI-based DRL | https://arxiv.org/abs/2111.08575v2 | Route completion | 57.442 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | GRI-based DRL | https://arxiv.org/abs/2111.08575v2 | Infraction penalty | 0.568 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN | https://arxiv.org/abs/2207.00186v2 | Driving score | 22.80 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN | https://arxiv.org/abs/2207.00186v2 | Route completion | 47.22 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | MMFN | https://arxiv.org/abs/2207.00186v2 | Infraction penalty | 0.63 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Techs4AgeCar+ | null | Driving score | 18.75 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Techs4AgeCar+ | null | Route completion | 75.11 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Techs4AgeCar+ | null | Infraction penalty | 0.28 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Pylot | https://www.ionelgog.org/data/papers/2021-icra-pylot.pdf | Driving score | 16.7 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Pylot | https://www.ionelgog.org/data/papers/2021-icra-pylot.pdf | Route completion | 48.63 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | Pylot | https://www.ionelgog.org/data/papers/2021-icra-pylot.pdf | Infraction penalty | 0.5 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | CaRINA | https://arxiv.org/abs/2010.12598v1 | Driving score | 15.55 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | CaRINA | https://arxiv.org/abs/2010.12598v1 | Route completion | 40.63 |
Autonomous Vehicles > Autonomous Driving > CARLA MAP Leaderboard | CARLA | CaRINA | https://arxiv.org/abs/2010.12598v1 | Infraction penalty | 0.47 |
Autonomous Vehicles > Autonomous Driving > 3D Pedestrian Tracking | nuScenes validation set | BEVFusion + Tracking | https://arxiv.org/abs/2505.16029v1 | AMOTA | 77.9 |
Autonomous Vehicles > Autonomous Driving > 3D Pedestrian Tracking | nuScenes validation set | Center-based Tracking | https://arxiv.org/abs/2006.11275v2 | AMOTA | 77.3 |
Autonomous Vehicles > Autonomous Driving > 3D Pedestrian Tracking | nuScenes validation set | Probabilistic 3D Tracking | https://arxiv.org/abs/2012.13755v2 | AMOTA | 76.6 |
Autonomous Vehicles > Autonomous Driving > 3D Pedestrian Tracking | nuScenes validation set | AB3DMOT | https://arxiv.org/abs/1907.03961v5 | AMOTA | 9.1 |
Autonomous Vehicles > Autonomous Navigation > Autonomous Flight (Dense Forest) | mtrl-auto-uav | model_0.5004407.h5 | https://arxiv.org/abs/1907.08320v1 | NI | 31 |
Autonomous Vehicles > Simultaneous Localization and Mapping > Semantic SLAM | Bonn RGB-D Dynamic | GeneA-SLAM2 synchronous2 | https://arxiv.org/abs/2506.02736v1 | ATE | 0.008 |
Autonomous Vehicles > Simultaneous Localization and Mapping > Semantic SLAM | TUM RGB-D | GeneA-SLAM2 f3/w/static | https://arxiv.org/abs/2506.02736v1 | ATE | 0.007 |
Autonomous Vehicles > Pedestrian Detection | Caltech Pedestrian Dataset | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | MR | 0.87 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | R (miss rate) | 18.7 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | RS (miss rate) | 24.9 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | HO (miss rate) | 56.2 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | EGCL | https://arxiv.org/abs/2111.08974v3 | R (miss rate) | 19.73 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | EGCL | https://arxiv.org/abs/2111.08974v3 | RS (miss rate) | - |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | EGCL | https://arxiv.org/abs/2111.08974v3 | HO (miss rate) | 60.05 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | EGCL | https://arxiv.org/abs/2111.08974v3 | R+HO (miss rate) | 24.19 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | EGCL | https://arxiv.org/abs/2111.08974v3 | ALL (miss rate) | 35.76 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | CrowdDet | https://arxiv.org/abs/2003.09163v2 | R (miss rate) | 20.82 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | CrowdDet | https://arxiv.org/abs/2003.09163v2 | RS (miss rate) | - |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | CrowdDet | https://arxiv.org/abs/2003.09163v2 | HO (miss rate) | 61.22 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | CrowdDet | https://arxiv.org/abs/2003.09163v2 | R+HO (miss rate) | 25.28 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | CrowdDet | https://arxiv.org/abs/2003.09163v2 | ALL (miss rate) | 36.94 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FPN | http://arxiv.org/abs/1612.03144v2 | R (miss rate) | 22.30 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FPN | http://arxiv.org/abs/1612.03144v2 | RS (miss rate) | 35.19 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FPN | http://arxiv.org/abs/1612.03144v2 | HO (miss rate) | 60.30 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FPN | http://arxiv.org/abs/1612.03144v2 | R+HO (miss rate) | 26.71 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FPN | http://arxiv.org/abs/1612.03144v2 | ALL (miss rate) | 37.78 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | RetinaNet | http://arxiv.org/abs/1708.02002v2 | R (miss rate) | 23.89 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | RetinaNet | http://arxiv.org/abs/1708.02002v2 | RS (miss rate) | 37.92 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | RetinaNet | http://arxiv.org/abs/1708.02002v2 | HO (miss rate) | 61.60 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | RetinaNet | http://arxiv.org/abs/1708.02002v2 | R+HO (miss rate) | 28.45 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | RetinaNet | http://arxiv.org/abs/1708.02002v2 | ALL (miss rate) | 41.40 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FCOS | https://arxiv.org/abs/1904.01355v5 | R (miss rate) | 24.35 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FCOS | https://arxiv.org/abs/1904.01355v5 | RS (miss rate) | 37.40 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FCOS | https://arxiv.org/abs/1904.01355v5 | HO (miss rate) | 63.73 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FCOS | https://arxiv.org/abs/1904.01355v5 | R+HO (miss rate) | 28.86 |
Autonomous Vehicles > Pedestrian Detection | TJU-Ped-traffic | FCOS | https://arxiv.org/abs/1904.01355v5 | ALL (miss rate) | 40.02 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv6 (Thermal) | https://arxiv.org/abs/2209.02976v1 | mAP | 84.4 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | CFT | https://arxiv.org/abs/2111.00273v4 | mAP | 82.7 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv3 (Thermal) | http://arxiv.org/abs/1804.02767v1 | mAP | 82.7 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | CMX | https://arxiv.org/abs/2203.04838v5 | mAP | 81.6 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv6 (Visible) | https://arxiv.org/abs/2209.02976v1 | mAP | 38.1 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv3 (Visible) | http://arxiv.org/abs/1804.02767v1 | mAP | 34.5 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv7 (Thermal) | https://arxiv.org/abs/2207.02696v1 | mAP | 77.8 |
Autonomous Vehicles > Pedestrian Detection | DVTOD | YOLOv7 (Visible) | https://arxiv.org/abs/2207.02696v1 | mAP | 35.3 |
Autonomous Vehicles > Pedestrian Detection | MMPD-Dataset | MMPedestron | https://arxiv.org/abs/2407.10125v1 | box mAP | 79.0 |
Autonomous Vehicles > Pedestrian Detection | Caltech | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | Reasonable Miss Rate | 0.87 |
Autonomous Vehicles > Pedestrian Detection | Caltech | LSFM | http://openaccess.thecvf.com//content/CVPR2023/html/Khan_Localized_Semantic_Feature_Mixers_for_Efficient_Pedestrian_Detection_in_Autonomous_CVPR_2023_paper.html | Heavy MR^-2 | 19.5 |
Autonomous Vehicles > Pedestrian Detection | Caltech | F2DNet (extra data) | https://arxiv.org/abs/2203.02331v2 | Reasonable Miss Rate | 1.71 |
Autonomous Vehicles > Pedestrian Detection | Caltech | F2DNet (extra data) | https://arxiv.org/abs/2203.02331v2 | Heavy MR^-2 | 20.42 |
Autonomous Vehicles > Pedestrian Detection | Caltech | Pedestron | https://arxiv.org/abs/2003.08799v7 | Reasonable Miss Rate | 1.76 |
Autonomous Vehicles > Pedestrian Detection | Caltech | Pedestron | https://arxiv.org/abs/2003.08799v7 | Heavy MR^-2 | 25.7 |
Autonomous Vehicles > Pedestrian Detection | Caltech | F2DNet | https://arxiv.org/abs/2203.02331v2 | Reasonable Miss Rate | 2.2 |
Autonomous Vehicles > Pedestrian Detection | Caltech | F2DNet | https://arxiv.org/abs/2203.02331v2 | Heavy MR^-2 | 38.7 |
Autonomous Vehicles > Pedestrian Detection | Caltech | VLPD | https://arxiv.org/abs/2304.03135v1 | Reasonable Miss Rate | 2.3 |
Autonomous Vehicles > Pedestrian Detection | Caltech | VLPD | https://arxiv.org/abs/2304.03135v1 | Heavy MR^-2 | 37.7 |
Autonomous Vehicles > Pedestrian Detection | Caltech | NMS-Loss | https://arxiv.org/abs/2106.02426v1 | Reasonable Miss Rate | 2.92 |
Autonomous Vehicles > Pedestrian Detection | Caltech | FRCNN+FPN-Res50+refined feature map+Crowdhuman | http://arxiv.org/abs/1805.00123v1 | Reasonable Miss Rate | 3.46 |
Autonomous Vehicles > Pedestrian Detection | Caltech | CSP + CityPersons dataset | https://arxiv.org/abs/1904.02948v4 | Reasonable Miss Rate | 3.8 |
Autonomous Vehicles > Pedestrian Detection | Caltech | RepLoss + CityPersons dataset | http://arxiv.org/abs/1711.07752v2 | Reasonable Miss Rate | 4.0 |
Autonomous Vehicles > Pedestrian Detection | Caltech | OR-CNN + CityPersons dataset | http://arxiv.org/abs/1807.08407v1 | Reasonable Miss Rate | 4.1 |
Autonomous Vehicles > Pedestrian Detection | Caltech | CSP | https://arxiv.org/abs/1904.02948v4 | Reasonable Miss Rate | 4.5 |
Autonomous Vehicles > Pedestrian Detection | Caltech | ALFNet + CityPersons dataset | http://openaccess.thecvf.com/content_ECCV_2018/html/Wei_Liu_Learning_Efficient_Single-stage_ECCV_2018_paper.html | Reasonable Miss Rate | 4.5 |
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