Method: EPOS-BOP20-PBR

User thodan
Publication Hodan, Barath, Matas, EPOS: Estimating 6D Pose of Objects with Symmetries, CVPR 2020
Implementation http://cmp.felk.cvut.cz/epos (CODE COMING SOON)
Training image modalities RGB
Test image modalities RGB
Description

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

Public submissions

Date Submission name Dataset
2020-08-19 18:26 - HB
2020-08-19 18:27 - IC-BIN
2020-08-19 18:27 - ITODD
2020-08-19 18:27 - LM-O
2020-08-19 18:29 - TUD-L
2020-08-19 18:31 - YCB-V
2020-08-19 19:35 - T-LESS