BOP challenge

The BOP challenge is a benchmark that contains seven core datasets used to evaluate novel object pose estimation methods in RGB images.

Papers using BOP challenge (4)

MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation2026Co-op: Correspondence-based Novel Object Pose Estimation2025Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation2024CNOS: A Strong Baseline for CAD-based Novel Object Segmentation2023 · 4 cites