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 ...
Abstract: The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.
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