|Submission time (UTC)||May 4, 2022, 4:22 p.m.|
|Task||2D segmentation of seen objects|
|Training model type||Default|
|Training image type||Synthetic + real|
|Publication||Labbé et al, CosyPose: Consistent multi-view multi-object 6D pose estimation, ECCV 2020|
|Training image modalities||RGB|
|Test image modalities||RGB|
The method is the same as CosyPose-ECCV20-PBR-1VIEW but we also add the additionnal real and synthetic images to the training data when an official training split is available: TUD-L, T-LESS and YCB-Video. On other datasets, the results reported are the same as CosyPose-ECCV20-1VIEW-PBR.
The models (detectors, coarse pose estimation, refiner) are pre-trained from the models trained on PBR images only.
|Computer specifications||CPU: 20-core Intel Xeon 6164 @ 3.2 GHz, GPU: Nvidia V100|