Submission: SAM6D-FastSAM(RGB)/TUD-L
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Submission name |
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Submission time (UTC) |
March 22, 2024, 8:37 a.m.
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User |
jiehonglin
|
Task |
2D detection of unseen objects |
Dataset |
TUD-L |
Description |
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Evaluation scores |
AP: | 0.546 |
AP50: | 0.830 |
AP75: | 0.633 |
AP_large: | 0.608 |
AP_medium: | 0.554 |
AP_small: | 0.536 |
AR1: | 0.631 |
AR10: | 0.658 |
AR100: | 0.658 |
AR_large: | 0.712 |
AR_medium: | 0.655 |
AR_small: | 0.575 |
average_time_per_image: | 0.186 |
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User |
jiehonglin
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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 |
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Computer specifications |
GeForce RTX 3090 24G; Inter (R) Xeon (R) CPU E5-2678 v3 @ 2.50Ghz |