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 > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | F1 (all) | 50.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Up & Down | 45.2 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Curve | 56.6 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Extreme Weather | 49.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Night | 49.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Intersection | 42.9 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | Merge & Split | 45.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | CurveFormer | https://arxiv.org/abs/2209.07989v2 | FPS (pytorch) | - |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | F1 (all) | 44.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Up & Down | 40.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Curve | 46.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Extreme Weather | 47.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Night | 41.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Intersection | 32.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | Merge & Split | 41.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | 3D-LaneNet | https://arxiv.org/abs/1811.10203v3 | FPS (pytorch) | - |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | F1 (all) | 32.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Up & Down | 25.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Curve | 33.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Extreme Weather | 28.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Night | 18.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Intersection | 21.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | Merge & Split | 31.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane | Gen-LaneNet | https://arxiv.org/abs/2003.10656v1 | FPS (pytorch) | - |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoBDA | https://arxiv.org/abs/2412.18951v2 | DET_l | 51.2 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoBDA | https://arxiv.org/abs/2412.18951v2 | OLS | 58.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoBDA | https://arxiv.org/abs/2412.18951v2 | DET_t | 52.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoBDA | https://arxiv.org/abs/2412.18951v2 | TOP_ll | 39.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoBDA | https://arxiv.org/abs/2412.18951v2 | TOP_lt | 42.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MFV | null | DET_l | 35.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MFV | null | OLS | 53.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MFV | null | DET_t | 79.9 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MFV | null | TOP_ll | 23.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MFV | null | TOP_lt | 33.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMaskV2 | https://arxiv.org/abs/2409.11325v1 | DET_l | 34.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMaskV2 | https://arxiv.org/abs/2409.11325v1 | OLS | 49.9 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMaskV2 | https://arxiv.org/abs/2409.11325v1 | DET_t | 53.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMaskV2 | https://arxiv.org/abs/2409.11325v1 | TOP_ll | 25.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMaskV2 | https://arxiv.org/abs/2409.11325v1 | TOP_lt | 36.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | Separated RoadTopoFormer | https://arxiv.org/abs/2307.01557v1 | DET_l | 26.95 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | Separated RoadTopoFormer | https://arxiv.org/abs/2307.01557v1 | OLS | 43.6 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | Separated RoadTopoFormer | https://arxiv.org/abs/2307.01557v1 | DET_t | 61.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | Separated RoadTopoFormer | https://arxiv.org/abs/2307.01557v1 | TOP_ll | 15.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | Separated RoadTopoFormer | https://arxiv.org/abs/2307.01557v1 | TOP_lt | 21.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMLP | https://arxiv.org/abs/2310.06753v2 | DET_l | 28.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMLP | https://arxiv.org/abs/2310.06753v2 | OLS | 41.2 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMLP | https://arxiv.org/abs/2310.06753v2 | DET_t | 53.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMLP | https://arxiv.org/abs/2310.06753v2 | TOP_ll | 7.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMLP | https://arxiv.org/abs/2310.06753v2 | TOP_lt | 30.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMask | https://arxiv.org/abs/2306.05419v1 | DET_l | 22.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMask | https://arxiv.org/abs/2306.05419v1 | OLS | 36.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMask | https://arxiv.org/abs/2306.05419v1 | DET_t | 58.2 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMask | https://arxiv.org/abs/2306.05419v1 | TOP_ll | 5.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoMask | https://arxiv.org/abs/2306.05419v1 | TOP_lt | 15.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoNet | https://arxiv.org/abs/2304.05277v2 | DET_l | 28.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoNet | https://arxiv.org/abs/2304.05277v2 | OLS | 35.6 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoNet | https://arxiv.org/abs/2304.05277v2 | DET_t | 48.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoNet | https://arxiv.org/abs/2304.05277v2 | TOP_ll | 4.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | TopoNet | https://arxiv.org/abs/2304.05277v2 | TOP_lt | 20.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | VectorMapNet | https://arxiv.org/abs/2206.08920v6 | DET_l | 11.1 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | VectorMapNet | https://arxiv.org/abs/2206.08920v6 | OLS | 20.8 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | VectorMapNet | https://arxiv.org/abs/2206.08920v6 | DET_t | 41.7 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | VectorMapNet | https://arxiv.org/abs/2206.08920v6 | TOP_ll | 0.4 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | VectorMapNet | https://arxiv.org/abs/2206.08920v6 | TOP_lt | 5.9 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MapTR | https://arxiv.org/abs/2208.14437v2 | DET_l | 8.3 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MapTR | https://arxiv.org/abs/2208.14437v2 | OLS | 20.0 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MapTR | https://arxiv.org/abs/2208.14437v2 | DET_t | 43.5 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MapTR | https://arxiv.org/abs/2208.14437v2 | TOP_ll | 0.2 |
Autonomous Vehicles > Lane Detection > 3D Lane Detection | OpenLane-V2 val | MapTR | https://arxiv.org/abs/2208.14437v2 | TOP_lt | 5.9 |
Autonomous Vehicles > Traffic Sign Recognition | FlickrLogos-32 | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 95.80 |
Autonomous Vehicles > Traffic Sign Recognition | BelgaLogos | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 89.48 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN with adaptations for traffic sings and augmentations (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 95.5 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN with adaptations for traffic sings and augmentations (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP @0.5:0.95 | 84.4 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN with adaptations for traffic sings (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 95.2 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 93.0 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP @0.5:0.95 | 82.3 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Faster R-CNN | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 92.4 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Faster R-CNN | http://arxiv.org/abs/1904.00649v1 | mAP @0.5:0.95 | 80.4 |
Autonomous Vehicles > Traffic Sign Recognition | DFG traffic-sign dataset | Mask R-CNN with adaptations for traffic sings (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP @0.5:0.95 | 82.0 |
Autonomous Vehicles > Traffic Sign Recognition | TopLogo-10 | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 89.66 |
Autonomous Vehicles > Traffic Sign Recognition | GTSRB | CNN with 3 Spatial Transformers | https://www.sciencedirect.com/science/article/abs/pii/S0893608018300054 | Accuracy | 99.71% |
Autonomous Vehicles > Traffic Sign Recognition | GTSRB | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 99.68% |
Autonomous Vehicles > Traffic Sign Recognition | GTSRB | SeqNet | https://ieeexplore.ieee.org/document/10689469 | Accuracy | 99.66% |
Autonomous Vehicles > Traffic Sign Recognition | GTSRB | MicronNet (fp16) | http://arxiv.org/abs/1804.00497v3 | Accuracy | 98.9% |
Autonomous Vehicles > Traffic Sign Recognition | GTSRB | SEER (RegNet10B) | https://arxiv.org/abs/2202.08360v2 | Accuracy | 90.71% |
Autonomous Vehicles > Traffic Sign Recognition | Bosch Small Traffic Lights | Hierarchical + Background Threshold Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.46 |
Autonomous Vehicles > Traffic Sign Recognition | Bosch Small Traffic Lights | Hierarchical Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.45 |
Autonomous Vehicles > Traffic Sign Recognition | Bosch Small Traffic Lights | Background Threshold Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.41 |
Autonomous Vehicles > Traffic Sign Recognition | Belgian Traffic Sign Classification | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 98.97 |
Autonomous Vehicles > Traffic Sign Recognition | Swedish traffic-sign dataset (STSD) | Mask R-CNN with adaptations for traffic sings (ResNet50) | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 95.2 |
Autonomous Vehicles > Traffic Sign Recognition | Swedish traffic-sign dataset (STSD) | Faster R-CNN | http://arxiv.org/abs/1904.00649v1 | mAP@0.50 | 94.3 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | TSR-SA(with RFB-C) | https://link.springer.com/article/10.1007/s00521-021-06526-1 | MAP | 0.902 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | TSR-SA(with RFB-C) | https://link.springer.com/article/10.1007/s00521-021-06526-1 | FPS (V100, b=1) | 48.8 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | TSR-SA(without RFB-C) | https://link.springer.com/article/10.1007/s00521-021-06526-1 | MAP | 0.899 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | TSR-SA(without RFB-C) | https://link.springer.com/article/10.1007/s00521-021-06526-1 | FPS (V100, b=1) | 58.1 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | Background Threshold Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.32 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | Hierarchical + Background Threshold Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.31 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | Hierarchical Model | http://arxiv.org/abs/1806.07987v2 | MAP | 0.30 |
Autonomous Vehicles > Traffic Sign Recognition | Tsinghua-Tencent 100K | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 99.53 |
Autonomous Vehicles > Traffic Sign Recognition | Chinese Traffic Sign Database | Sill-Net | https://arxiv.org/abs/2102.03539v3 | Accuracy | 97.19 |
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