Submission: SAM6D/TUD-L
Download submission
| Submission name |
|
| Submission time (UTC) |
Jan. 11, 2024, 12:23 p.m.
|
| User |
jiehonglin
|
| Task |
6D localization of unseen objects |
| Dataset |
TUD-L |
| Description |
|
| Evaluation scores |
| AR: | 0.892 |
| AR_MSPD: | 0.919 |
| AR_MSSD: | 0.916 |
| AR_VSD: | 0.840 |
| average_time_per_image: | 3.671 |
|
| 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 |
|
| Computer specifications |
GeForce RTX 3090 24G； Inter (R) Xeon (R) CPU E5-2678 v3 @ 2.50Ghz |