Attention-guided RGB-D Fusion Network for Category-level 6D Object Pose Estimation
Hao Wang,Weiming Li,Jiyeon Kim,Qiang Wang,Hao Wang,Weiming Li,Jiyeon Kim,Qiang Wang
This work focuses on estimating 6D poses and sizes of category-level objects from a single RGB-D image. How to exploit the complementary RGB and depth features plays an important role in this task yet remains an open question. Due to the large intra-category texture and shape variations, an object instance in test may have different RGB and depth features from those of the object instances in trai...
