Submission: SAM6D-FastSAM(RGB)/ITODD
Download submission
| Submission name |
|
| Submission time (UTC) |
March 22, 2024, 8:25 a.m.
|
| User |
jiehonglin
|
| Task |
Model-based 2D segmentation of unseen objects |
| Dataset |
ITODD |
| Description |
|
| Evaluation scores |
| AP: | 0.290 |
| AP50: | 0.484 |
| AP75: | 0.310 |
| AP_large: | 0.297 |
| AP_medium: | 0.115 |
| AP_small: | -1.000 |
| AR1: | 0.162 |
| AR10: | 0.443 |
| AR100: | 0.446 |
| AR_large: | 0.452 |
| AR_medium: | 0.200 |
| AR_small: | -1.000 |
| average_time_per_image: | 0.140 |
|
| 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 |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
GeForce RTX 3090 24G； Inter (R) Xeon (R) CPU E5-2678 v3 @ 2.50Ghz |