Abstract: Accurate perception of road object information is critical in autonomous driving systems and traffic flow analysis. This task is challenging due to the variability of complex road ...
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Abstract: This paper handles the problem of human attention prediction in natural daily life from the third-person view. Due to the significance of this topic in various applications, researchers in ...
Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...
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