Submission: CosyPose-ECCV20-SYNT+REAL-1VIEW/YCB-V

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Submission name
Submission time (UTC) May 4, 2022, 4:05 p.m.
User yann_labbe
Task 2D detection of seen objects
Dataset YCB-V
Training model type Default
Training image type Synthetic + real
Description
Evaluation scores
AP:0.745
AP50:0.927
AP75:0.842
AP_large:0.819
AP_medium:0.590
AP_small:0.000
AR1:0.772
AR10:0.790
AR100:0.790
AR_large:0.856
AR_medium:0.620
AR_small:0.000
average_time_per_image:0.042

Method: CosyPose-ECCV20-SYNT+REAL-1VIEW

User yann_labbe
Publication Labbé et al, CosyPose: Consistent multi-view multi-object 6D pose estimation, ECCV 2020
Implementation https://github.com/ylabbe/cosypose
Training image modalities RGB
Test image modalities RGB
Description

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