Submission: DLZDet-PBRREAL/TUD-L/DLZDet-PBRREAL
Download submission
| Submission name |
DLZDet-PBRREAL
|
| Submission time (UTC) |
Oct. 17, 2022, 12:30 a.m.
|
| User |
USTC-IAT-United
|
| Task |
Model-based 2D segmentation of seen objects |
| Dataset |
TUD-L |
| Training model type |
Default |
| Training image type |
Synthetic + real |
| Description |
|
| Evaluation scores |
| AP: | 0.732 |
| AP50: | 0.832 |
| AP75: | 0.738 |
| AP_large: | 0.642 |
| AP_medium: | 0.744 |
| AP_small: | 0.760 |
| AR1: | 0.802 |
| AR10: | 0.837 |
| AR100: | 0.837 |
| AR_large: | 0.823 |
| AR_medium: | 0.830 |
| AR_small: | 0.875 |
| average_time_per_image: | -1.000 |
|
| User |
USTC-IAT-United
|
| Publication |
|
| Implementation |
mmseg |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
3090 |