Submission: DLZDet-PBR1/YCB-V/DLZDet-PBR1
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Submission name |
DLZDet-PBR1
|
Submission time (UTC) |
Oct. 16, 2022, 7:51 p.m.
|
User |
USTC-IAT-United
|
Task |
2D detection of seen objects |
Dataset |
YCB-V |
Training model type |
Default |
Training image type |
Synthetic (only PBR images provided for BOP Challenge 2020 were used) |
Description |
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Evaluation scores |
AP: | 0.770 |
AP50: | 0.947 |
AP75: | 0.902 |
AP_large: | 0.816 |
AP_medium: | 0.680 |
AP_small: | 0.353 |
AR1: | 0.810 |
AR10: | 0.842 |
AR100: | 0.843 |
AR_large: | 0.879 |
AR_medium: | 0.768 |
AR_small: | 0.350 |
average_time_per_image: | -1.000 |
|
User |
USTC-IAT-United
|
Publication |
Title, Conference 2015. |
Implementation |
MMDET |
Training image modalities |
RGB |
Test image modalities |
RGB |
Description |
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Computer specifications |
3090 |