Submission: ZTE_PPF/LM-O
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| Submission name |
|
| Submission time (UTC) |
Sept. 14, 2022, 9:06 a.m.
|
| User |
zte-ysc
|
| Task |
Model-based 6D localization of seen objects |
| Dataset |
LM-O |
| Training model type |
Default |
| Training image type |
None |
| Description |
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| Evaluation scores |
| AR: | 0.663 |
| AR_MSPD: | 0.745 |
| AR_MSSD: | 0.707 |
| AR_VSD: | 0.538 |
| average_time_per_image: | 0.647 |
|
| User |
zte-ysc
|
| Publication |
|
| Implementation |
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| Training image modalities |
None |
| Test image modalities |
D |
| Description |
An optimized implementation of PPF algorithm proposed by Drost et al.
|
| Computer specifications |
Intel® Core™ i7-9700 CPU @ 3.00GHz × 8 |