Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...
Abstract: DETR first used a transformer in object detection. It does not use anchor boxes and non-maximum suppression by converting object detection into a set prediction problem. DETR has shown ...
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