|Submission time (UTC)||Aug. 19, 2020, 6:27 p.m.|
|Task||Pose estimation (BOP 2019-2022)|
|Training model type||Default|
|Training image type||Synthetic (only PBR images provided for BOP Challenge 2020 were used)|
|Publication||Hodan, Barath, Matas, EPOS: Estimating 6D Pose of Objects with Symmetries, CVPR 2020|
|Training image modalities||RGB|
|Test image modalities||RGB|
Only the synthetic "PBR-BlenderProc4BOP" RGB images provided for the BOP Challenge 2020 were used for training.
The results were achieved without any post-refinement of the estimated poses (i.e. without ICP, DeepIM, etc.).
Up to 5000 2D-3D correspondences with the highest confidence were used per image. Other hyper-parameters were set as described in the CVPR 2020 paper.
|Computer specifications||14-core Intel Xeon E5-2680 v4 CPU, 252GB RAM, Nvidia P100 GPU|