F2G-Pose estimates category-level RGB-D object pose in one pass
It reports state-of-the-art accuracy on SOPE and ROPE at 28 FPS for pose-only inference, with code and weights released.
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It reports state-of-the-art accuracy on SOPE and ROPE at 28 FPS for pose-only inference, with code and weights released.
RGBD20K adds 20,000 RGB-D pairs and 160 classes for semantic segmentation, plus a score-purified fusion method.
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