计算机科学
场景图
人工智能
隐藏字幕
图形
计算机视觉
目标检测
可视化
深度学习
模式识别(心理学)
图像(数学)
理论计算机科学
渲染(计算机图形)
作者
Alina T. Latipova,Paul P. Kumar
标识
DOI:10.1109/smartindustrycon57312.2023.10110820
摘要
Scene graph generation, the task of identifying objects in an image and their relationships, has numerous applications in computer vision, including image captioning and object detection. While deep learning has shown promise for this task, hyperparameter tuning remains a challenge. This paper considers the background and overviews for understanding the visual scene, scene graph and Scene Graph Generation. We discuss the visual scene related research area and scene graph concept. Also we follow the chronological and methodological approaches for the scene graph generation. Then we go through the neural network and deep learning approaches to scene graph generation (e.g. human-object/human-human interaction).
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