Submission: DLZDet-PBR1/YCB-V/DLZDet-PBR1
Download submission
| Submission name |
DLZDet-PBR1
|
| Submission time (UTC) |
Oct. 16, 2022, 4:58 p.m.
|
| User |
USTC-IAT-United
|
| Task |
2D segmentation of seen objects |
| Dataset |
YCB-V |
| Training model type |
Default |
| Training image type |
Synthetic (only PBR images provided for BOP Challenge 2020 were used) |
| Description |
|
| Evaluation scores |
| AP: | 0.477 |
| AP50: | 0.819 |
| AP75: | 0.494 |
| AP_large: | 0.525 |
| AP_medium: | 0.362 |
| AP_small: | 0.000 |
| AR1: | 0.513 |
| AR10: | 0.527 |
| AR100: | 0.527 |
| AR_large: | 0.570 |
| AR_medium: | 0.447 |
| AR_small: | 0.000 |
| average_time_per_image: | -1.000 |
|
| User |
USTC-IAT-United
|
| Publication |
Title, Conference 2015. |
| Implementation |
MMDET |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
3090 |