Yesterday, our latest BOP Challenge report on model-based and model-free object pose estimation just received the Best Paper Award at the Computer Vision for Mixed Reality CVPR'25 Workshop :)

Check it out here: arxiv.org/abs/2504.02812

Therefore, I'm quite excited to have docker-based robot grasping evaluations of SoTA pose detection algorithms from BOP!

The BOP challenge 2025 is still open for submissions. Present your results at our ICCV 2025 R6D workshop in Hawaii.

6D pose detection metrics and grasp success rates strongly correlate, but they are not identical. Average Precision is a great threshold-free detection metric, but grasp success is often determined by the highest confident target object pose.

At 4pm we will also give a talk on the early-bird results of the BOP challenge that now contains the same Industrial Plenoptic dataset and compare to the robotic BPC challenge (bpc.opencv.org).

Does the recent progress in 3D vision transfer to challenging real-world problems in robotics and XR?

Proof it and participate in the BOP challenge 2025 featuring real-world datasets and tasks. bop.felk.cvut.cz/challenges/

I'm open for new ways, like OpenReview on every arxiv paper with a community that creates incentives to collectively review all of them.

Kaggle, Twitter, Discord and Github are great for mainstream and applied topics. But attention is not infinite and not fairly distributed. Peer review is not perfect but it ensures >0 closer looks on every idea, i.e. efficiently distributed attention.

Interested to learn more?

Watch the recording of our ECCV 2024 workshop on Recovering 6D Object Pose.

Find the program and speakers here:
cmp.felk.cvut.cz/sixd/worksho...