核心概念
Privacy object detection is essential for safeguarding individual privacy rights in the digital age, requiring inference based on scene information.
要約
The content discusses the importance of privacy object detection in protecting individuals' privacy rights in the digital era. It introduces the SHAN model, which utilizes scene heterogeneous graphs for accurate privacy object detection. The creation of benchmark datasets, MOSAIC and PRIVACY1000, addresses limitations in existing datasets. Experimental results demonstrate SHAN's superior performance over baseline models in accuracy and generalization.
統計
SHAN performs excellently with a precision of 97% on PRIVACY1000.
The MOSAIC dataset contains 13,384 images covering 143 different object categories.
The PRIVACY1000 dataset comprises 1000 images with annotations of various privacy objects.