Submission: Sundermeyer-IJCV19/HB
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Submission name |
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Submission time (UTC) |
Oct. 22, 2019, 6:35 a.m.
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User |
MartinSmeyer
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Task |
Model-based 6D localization of seen objects |
Dataset |
HB |
Training model type |
Default |
Training image type |
Synthetic (custom) |
Description |
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Evaluation scores |
AR: | 0.346 |
AR_MSPD: | 0.461 |
AR_MSSD: | 0.306 |
AR_VSD: | 0.273 |
average_time_per_image: | 0.190 |
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User |
MartinSmeyer
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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 |
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Computer specifications |
Intel(R) Xeon(R) W-2133 CPU @ 3.60GHz + Intel Nvidia 1080 Ti |