Submission: FCOS-CDPN-Real+PBR/TUD-L
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| Submission name |
|
| Submission time (UTC) |
July 23, 2022, 10:58 a.m.
|
| User |
Yang-hai
|
| Task |
2D detection of seen objects |
| Dataset |
TUD-L |
| Training model type |
None |
| Training image type |
Synthetic + real |
| Description |
|
| Evaluation scores |
| AP: | 0.860 |
| AP50: | 1.000 |
| AP75: | 0.978 |
| AP_large: | 0.901 |
| AP_medium: | 0.860 |
| AP_small: | 0.750 |
| AR1: | 0.890 |
| AR10: | 0.891 |
| AR100: | 0.891 |
| AR_large: | 0.958 |
| AR_medium: | 0.882 |
| AR_small: | 0.750 |
| average_time_per_image: | 0.040 |
|
| User |
Yang-hai
|
| Publication |
CVPR 2019 |
| Implementation |
https://github.com/LZGMatrix/BOP19_CDPN_2019ICCV/tree/bop2020 |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
NVIDIA 3090 |