Papers Pornography Detection
“Pornography Detection” 태그가 달린 논문 5편 · 필터 해제
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are growing fast, such that human experts can no longer handle the manual inspection. However, the automatic classification of CSAM is a challenging fi…
Pornography DetectionCombating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons
Watching cartoons can be useful for children's intellectual, social and emotional development. However, the most popular video sharing platform today provides many videos with Elsagate content. Elsagate is a phenomenon t…
Deep LearningPornography DetectionAdversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study
Deep learning has been broadly leveraged by major cloud providers, such as Google, AWS and Baidu, to offer various computer vision related services including image classification, object identification, illegal image det…
General Classificationimage-classificationImage ClassificationPornography Detection+1Spatiotemporal 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. Among the inappropriate contents published on the Internet, pornography is one of the m…
Pornography DetectionA Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection
With the growing amount of inappropriate content on the Internet, such as pornography, arises the need to detect and filter such material. The reason for this is given by the fact that such content is often prohibited in…
Pornography DetectionVideo Description