Submission: SAM6D/TUD-L
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| Submission name |
|
| Submission time (UTC) |
Nov. 18, 2023, 12:49 a.m.
|
| User |
jiehonglin
|
| Task |
6D localization of unseen objects |
| Dataset |
TUD-L |
| Description |
|
| Evaluation scores |
| AR: | 0.874 |
| AR_MSPD: | 0.903 |
| AR_MSSD: | 0.902 |
| AR_VSD: | 0.819 |
| average_time_per_image: | 1.415 |
|
| User |
jiehonglin
|
| Publication |
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation |
| Implementation |
https://github.com/JiehongLin/SAM-6D/ |
| Training image modalities |
RGB-D |
| Test image modalities |
RGB-D |
| Description |
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| Computer specifications |
GeForce RTX 3090 24G； Inter (R) Xeon (R) CPU E5-2678 v3 @ 2.50Ghz |