Details for method 'UniDet_RVC'
Method overview
| name |
UniDet_RVC |
| challenge |
instance-level semantic labeling |
| details |
|
| publication |
Anonymous
|
| project page / code |
|
| used Cityscapes data |
fine annotations |
| used external data |
ImageNet, COCO, OpenImages, Viper, ScanNet, Mapillary, |
| runtime |
300 s
|
| subsampling |
2 |
| submission date |
August, 2020 |
| previous submissions |
|
Average results
| Metric |
Value |
| AP | 29.8114 |
| AP50% | 52.4315 |
| AP100m | 44.119 |
| AP50m | 47.9577 |
Class results
| Class |
AP | AP50% | AP100m | AP50m |
| person | 31.4075 | 59.7373 | 49.8354 | 50.0223 |
| rider | 22.3888 | 56.239 | 34.289 | 35.0782 |
| car | 45.9061 | 68.4408 | 65.8576 | 68.2173 |
| truck | 30.4873 | 40.9502 | 45.2784 | 55.6446 |
| bus | 41.4727 | 57.5585 | 62.031 | 70.4129 |
| train | 31.7551 | 52.7561 | 45.3259 | 52.5542 |
| motorcycle | 20.6574 | 46.0821 | 27.4559 | 28.8339 |
| bicycle | 14.4167 | 37.6881 | 22.879 | 22.8983 |
Links
Download results as .csv file
Benchmark page
