Pornography Detection
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Pornography Detection
Most implemented papers
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection
Although these approaches provide good results, they generally have the disadvantage of a high false positive rate since not all images with large areas of skin exposure are necessarily pornographic images, such as people wearing swimsuits or images related to sports.
Spatiotemporal CNNs for Pornography Detection in Videos
With the increasing use of social networks and mobile devices, the number of videos posted on the Internet is growing exponentially.
Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons
As the first to explore disturbing content in cartoons, we proceed from the most recent pornography detection literature applying deep convolutional neural networks combined with static and motion information of the video.