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New Method Developed by GIST Researchers Allow Robot Vision to Identify Occluded Objects

When artificial intelligence systems encounter scenes where objects are not fully visible, it has to make estimations based only on the visible parts of the objects. This partial information leads to detection errors, and large training data is required to correctly recognize such scenes. Now, researchers at the Gwangju Institute of Science and Technology have… ....

Kyoobin Lee , International Conference On Robotics , Gwangju Institute Of Science , New Method Developed , Allow Robot Vision , Identify Occluded , Gwangju Institute , Professor Kyoobin Lee , Seunghyeok Back , Unseen Object Amodal Instance Segmentation , Hierarchical Occlusion ,