Submission: Sundermeyer-IJCV19+ICP/TUD-L
Download submission
| Submission name |
|
| Submission time (UTC) |
Oct. 22, 2019, 12:16 a.m.
|
| User |
MartinSmeyer
|
| Task |
6D localization of seen objects |
| Dataset |
TUD-L |
| Training model type |
Default |
| Training image type |
Real |
| Description |
Real data only used for instance segmentation
|
| Evaluation scores |
| AR: | 0.614 |
| AR_MSPD: | 0.710 |
| AR_MSSD: | 0.600 |
| AR_VSD: | 0.532 |
| average_time_per_image: | 0.373 |
|
| User |
MartinSmeyer
|
| Publication |
Sundermeyer et al.: Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection, ICJV 2019 |
| Implementation |
https://github.com/DLR-RM/AugmentedAutoencoder |
| Training image modalities |
RGB |
| Test image modalities |
RGB-D |
| Description |
|
| Computer specifications |
Intel(R) Xeon(R) W-2133 CPU @ 3.60GHz + Intel Nvidia 1080 Ti |