Submission: OSOP: RGBD/LM-O/no training on target objects, Kabsch
Download submission
| Submission name |
no training on target objects, Kabsch
|
| Submission time (UTC) |
July 22, 2022, 1:17 p.m.
|
| User |
ivan_shugurov
|
| Task |
6D localization of seen objects |
| Dataset |
LM-O |
| Training model type |
Default |
| Training image type |
Synthetic (only PBR images provided for BOP Challenge 2020 were used) |
| Description |
|
| Evaluation scores |
| AR: | 0.393 |
| AR_MSPD: | 0.436 |
| AR_MSSD: | 0.410 |
| AR_VSD: | 0.332 |
| average_time_per_image: | 0.475 |
|
| User |
ivan_shugurov
|
| Publication |
|
| Implementation |
|
| Training image modalities |
RGB-D |
| Test image modalities |
RGB-D |
| Description |
|
| Computer specifications |
|