Submission: Sundermeyer-IJCV19/ITODD
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| Submission name |
|
| Submission time (UTC) |
Oct. 22, 2019, 6:48 a.m.
|
| User |
MartinSmeyer
|
| Task |
Model-based 6D localization of seen objects |
| Dataset |
ITODD |
| Training model type |
Default |
| Training image type |
Synthetic (custom) |
| Description |
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| Evaluation scores |
| AR: | 0.101 |
| AR_MSPD: | 0.208 |
| AR_MSSD: | 0.050 |
| AR_VSD: | 0.046 |
| average_time_per_image: | 0.180 |
|
| 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 |
| Description |
|
| Computer specifications |
Intel(R) Xeon(R) W-2133 CPU @ 3.60GHz + Intel Nvidia 1080 Ti |