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 ⌀ |
|---|---|---|---|---|---|
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | M-MVOT | https://arxiv.org/abs/2409.01726v1 | MODA | 92.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVFlow | https://arxiv.org/abs/2210.10771v1 | MODA | 91.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODA | 91.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODP | 82.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Recall | 94.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | EarlyBird | https://arxiv.org/abs/2310.13350v1 | MODA | 91.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | EarlyBird | https://arxiv.org/abs/2310.13350v1 | MODP | 81.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODA | 90.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODP | 76.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Recall | 94.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDet | https://arxiv.org/abs/2007.07247v2 | MODA | 88.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDet | https://arxiv.org/abs/2007.07247v2 | MODP | 75.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | MVDet | https://arxiv.org/abs/2007.07247v2 | Recall | 93.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | Deep-Occlusion | http://arxiv.org/abs/1704.05775v2 | MODA | 74.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | Wildtrack | Deep-Occlusion | http://arxiv.org/abs/1704.05775v2 | MODP | 53.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODA (2m) | 60.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODP (2m) | 70.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | 3DROM | https://arxiv.org/abs/2207.10895v2 | Precision (2m) | 82.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | 3DROM | https://arxiv.org/abs/2207.10895v2 | Recall (2m) | 76.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | 3DROM | https://arxiv.org/abs/2207.10895v2 | F1_score (2m) | 79.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODA (2m) | 58.3 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODP (2m) | 74.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Precision (2m) | 92.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Recall (2m) | 63.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDeTr | https://arxiv.org/abs/2108.05888v1 | F1_score (2m) | 75.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SVCW | https://arxiv.org/abs/2405.19943v1 | MODA (2m) | 55.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SVCW | https://arxiv.org/abs/2405.19943v1 | MODP (2m) | 70.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SVCW | https://arxiv.org/abs/2405.19943v1 | Precision (2m) | 81.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SVCW | https://arxiv.org/abs/2405.19943v1 | Recall (2m) | 71.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SVCW | https://arxiv.org/abs/2405.19943v1 | F1_score (2m) | 76.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODA (2m) | 53.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODP (2m) | 72.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Precision (2m) | 91.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Recall (2m) | 59.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | F1_score (2m) | 71.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDet | https://arxiv.org/abs/2007.07247v2 | MODA (2m) | 44.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDet | https://arxiv.org/abs/2007.07247v2 | MODP (2m) | 65.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDet | https://arxiv.org/abs/2007.07247v2 | Precision (2m) | 79.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDet | https://arxiv.org/abs/2007.07247v2 | Recall (2m) | 59.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CityStreet | MVDet | https://arxiv.org/abs/2007.07247v2 | F1_score (2m) | 68.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | M-MVOT | https://arxiv.org/abs/2409.01726v1 | MODA (1m) | / |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | M-MVOT | https://arxiv.org/abs/2409.01726v1 | MODA (0.5m) | 43.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | MODA (1m) | 46.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | F1_score (1m) | 68.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | MODA (0.5m) | / |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | F1_score (0.5m) | / |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | Precision (1m) | 81.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | Recall (1m) | 59.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SVCW | https://arxiv.org/abs/2405.19943v1 | MODP (1m) | 78.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODA (1m) | 45.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | F1_score (1m) | 67.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Precision (1m) | 83.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Recall (1m) | 55.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODP (1m) | 77.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODA (1m) | 39.8 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDeTr | https://arxiv.org/abs/2108.05888v1 | F1_score (1m) | 61.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Precision (1m) | 95.3 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Recall (1m) | 44.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODP (1m) | 84.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDet | https://arxiv.org/abs/2007.07247v2 | MODA (1m) | 36.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDet | https://arxiv.org/abs/2007.07247v2 | F1_score (1m) | 60.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDet | https://arxiv.org/abs/2007.07247v2 | Precision (1m) | 79.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDet | https://arxiv.org/abs/2007.07247v2 | Recall (1m) | 49.4 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | MVDet | https://arxiv.org/abs/2007.07247v2 | MODP (1m) | 71.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODA (1m) | 33.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | 3DROM | https://arxiv.org/abs/2207.10895v2 | F1_score (1m) | 55.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | 3DROM | https://arxiv.org/abs/2207.10895v2 | Precision (1m) | 79.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | 3DROM | https://arxiv.org/abs/2207.10895v2 | Recall (1m) | 42.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | CVCS | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODP (1m) | 73.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | M-MVOT | https://arxiv.org/abs/2409.01726v1 | MODA | 96.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | M-MVOT | https://arxiv.org/abs/2409.01726v1 | MODP | 86.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | M-MVOT | https://arxiv.org/abs/2409.01726v1 | Recall | 97.9 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | TrackTacular (Bilinear Sampling) | https://arxiv.org/abs/2403.12573v1 | MODA | 96.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | TrackTacular (Bilinear Sampling) | https://arxiv.org/abs/2403.12573v1 | MODP | 75.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | TrackTacular (Bilinear Sampling) | https://arxiv.org/abs/2403.12573v1 | Recall | 97.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVFP | https://openaccess.thecvf.com/content/WACV2024/html/Aung_Enhancing_Multi-View_Pedestrian_Detection_Through_Generalized_3D_Feature_Pulling_WACV_2024_paper.html | MODA | 95.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVFP | https://openaccess.thecvf.com/content/WACV2024/html/Aung_Enhancing_Multi-View_Pedestrian_Detection_Through_Generalized_3D_Feature_Pulling_WACV_2024_paper.html | MODP | 85.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVFP | https://openaccess.thecvf.com/content/WACV2024/html/Aung_Enhancing_Multi-View_Pedestrian_Detection_Through_Generalized_3D_Feature_Pulling_WACV_2024_paper.html | Recall | 97.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | EarlyBird | https://arxiv.org/abs/2310.13350v1 | MODA | 94.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | EarlyBird | https://arxiv.org/abs/2310.13350v1 | MODP | 90.1 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODA | 93.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDeTr | https://arxiv.org/abs/2108.05888v1 | MODP | 91.3 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDeTr | https://arxiv.org/abs/2108.05888v1 | Recall | 94.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDet | https://arxiv.org/abs/2007.07247v2 | MODA | 93.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDet | https://arxiv.org/abs/2007.07247v2 | MODP | 79.6 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | MVDet | https://arxiv.org/abs/2007.07247v2 | Recall | 86.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODA | 90.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | 3DROM | https://arxiv.org/abs/2207.10895v2 | MODP | 83.7 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODA | 88.3 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | MODP | 82.0 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | SHOT | http://openaccess.thecvf.com//content/ICCV2021/html/Song_Stacked_Homography_Transformations_for_Multi-View_Pedestrian_Detection_ICCV_2021_paper.html | Recall | 91.5 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | Deep-Occulsion | http://arxiv.org/abs/1704.05775v2 | MODA | 75.2 |
16k > Object Detection > 3D Object Detection > Multiview Detection | MultiviewX | Deep-Occulsion | http://arxiv.org/abs/1704.05775v2 | MODP | 54.7 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | DSGN++ | https://arxiv.org/abs/2204.03039v3 | AP75 | 67.37 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | LIGA-Stereo | https://arxiv.org/abs/2108.08258v1 | AP75 | 64.66 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | CDN-DSGN | https://arxiv.org/abs/2007.03085v2 | AP75 | 54.2 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | CG-Stereo | https://arxiv.org/abs/2003.05505v1 | AP75 | 53.58 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | DSGN | https://arxiv.org/abs/2001.03398v3 | AP75 | 52.18 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | Disp R-CNN | https://arxiv.org/abs/2004.03572v1 | AP75 | 45.78 |
16k > Object Detection > 3D Object Detection > 3D Object Detection From Stereo Images | KITTI Cars Moderate | Pseudo-LiDAR++ | https://arxiv.org/abs/1906.06310v3 | AP75 | 42.43 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.