HouseCat-6D

The 'HouseCat-6D' dataset is a benchmark used to evaluate category-level 6D object pose estimation methods, specifically focusing on the performance of models in estimating the pose of household objects.

Papers using HouseCat-6D (2)

MemPose: Category-level Object Pose Estimation with Memory2026Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation2025