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: 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 ...
Abstract: Traditional point clouds models based on multilayer perceptrons (MLPs) lack inherent support for spatial data structures and fail to effectively process spatial relationships. To address ...
Este projeto implementa um sistema de detecção de objetos utilizando o modelo YOLOv8, com foco na identificação de "Wally" (ou "Waldo") em imagens. Desenvolvido para demonstrar a aplicação prática de ...
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