An advanced artificial intelligence (AI) technology has been developed that can extract three-dimensional (3D) spatial ...

To fill the semantic gap between the predictive power of computational saliency models and human behavior, this paper proposes to predict where people look at using spatial-aware object-level cues.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Enhanced Spatial Feature Learning for Weakly Supervised Object Detection Abstract: Weakly supervised object detection (WSOD) has become an effective paradigm, which requires only class labels to train ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Research shows that neurogenesis, collateral sprouting, synaptogenesis, exercise, and an enriched complex housing environment ...