In real-world application scenarios, object detection usually encounters two technical
challenges, ie, high accuracy and high speed. Although the latest detection frameworks …

Countless cybercrime instances have shown the need for detecting and blocking obscene
material from social media sites. Deep learning methods (DLMs) outperformed in …

Deep learning-based methods have been proven excellent performance in detecting
pornographic images/videos flooded on social media. However, in a dearth of huge yet well …

With the rapid development of Internet technology, the number of global Internet users is
rapidly increasing, and the scale of the Internet is also expanding. The huge Internet system …

In multi-label learning algorithms, the classification performance can be significantly
improved using global and local label correlation. However, the incompleteness of the label …

Due to the increased online activity, people of all ages, especially adolescents, may get
exposed to objectionable image content such as internet pornography. These images are …

The existing approaches usually treat the recognition of pornographic images as a binary or
multi-class classification task, which is realized by extracting a variety of features. However …

With the advent of the Internet, social media, and mobile technologies, pornographic images
have been broadly disseminated and caused great destruction to the social stability and the …

Wildfires are crucial to the ecosystem health, yet wildfires also pose a grave threat to human
lives and the environment. Early detection remains challenging, especially in remote areas …

Live video hosted by streamers is being sought after by an increasing number of Internet
users. Some streamers mix pornographic content with live video for profit and popularity, but …