Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

The current implementation of waving objects isn't ideal for models that aren't full blocks/flat planes. I assume the effect is being applied to the vertices between full cubes, with each receiving a ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Recently, salient object detection (SOD) methods based on deep learning have achieved significant progress. The existing models often require a considerable amount of memory and time to make precise ...

Abstract We introduce a temporal scene-object graph (TSOG) to construct an informative and efficient ego-centric visual representation. Firstly, we develop a holistic object feature descriptor (HOFD) ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...