Submission: Extended FCOS-PBR/HB/v2
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| Submission name |
v2
|
| Submission time (UTC) |
July 20, 2022, 7:52 a.m.
|
| User |
Yang-hai
|
| Task |
Model-based 2D detection of seen objects |
| Dataset |
HB |
| Training model type |
Default |
| Training image type |
Synthetic (only PBR images provided for BOP Challenge 2020 were used) |
| Description |
|
| Evaluation scores |
| AP: | 0.735 |
| AP50: | 0.897 |
| AP75: | 0.817 |
| AP_large: | 0.847 |
| AP_medium: | 0.755 |
| AP_small: | 0.251 |
| AR1: | 0.762 |
| AR10: | 0.787 |
| AR100: | 0.787 |
| AR_large: | 0.916 |
| AR_medium: | 0.794 |
| AR_small: | 0.267 |
| average_time_per_image: | -1.000 |
|
| User |
Yang-hai
|
| Publication |
Not yet |
| Implementation |
mmdetection |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
an NVIDIA 3090 |