Submission: Sundermeyer-IJCV19/YCB-V

Submission name
Submission time (UTC) Sept. 9, 2021, 6:34 p.m.
User MartinSmeyer
Dataset YCB-V
Training model type Default
Training image type Real
Description Real data only used for instance segmentation
Evaluation scores
bop19_average_recall:0.446
bop19_average_recall_mspd:0.510
bop19_average_recall_mssd:0.428
bop19_average_recall_vsd:0.399
bop19_average_time_per_image:0.250

Method: Sundermeyer-IJCV19

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