[HTML][HTML] Recognizing misogynous memes: Biased models and tricky archetypes
Warning: This paper contains examples of language and images which may be offensive.
Misogyny is a form of hate against women and has been spreading exponentially through …
Misogyny is a form of hate against women and has been spreading exponentially through …
Learning strategies for sensitive content detection
D Povedano Álvarez, AL Sandoval Orozco… - Electronics, 2023 - mdpi.com
Currently, the volume of sensitive content on the Internet, such as pornography and child
pornography, and the amount of time that people spend online (especially children) have …
pornography, and the amount of time that people spend online (especially children) have …
SBMYv3: improved MobYOLOv3 a BAM attention‐based approach for obscene image and video detection
Countless cybercrime instances have shown the need for detecting and blocking obscene
material from social media sites. Deep learning methods (DLMs) outperformed in …
material from social media sites. Deep learning methods (DLMs) outperformed in …
A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences
Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …
various real-life applications. Recently, object detection methods have been used to detect …
ASYv3: Attention‐enabled pooling embedded Swin transformer‐based YOLOv3 for obscenity detection
The rampant spread of explicit content across social media can leave a damaging mark on
our society. Hence, the need to be vigilant in detecting and curtailing sexually explicit …
our society. Hence, the need to be vigilant in detecting and curtailing sexually explicit …
Keeping children safe online with limited resources: Analyzing what is seen and heard
It is every parent's wish to protect their children from online pornography, cyber bullying and
cyber predators. Several existing approaches analyze a limited amount of information …
cyber predators. Several existing approaches analyze a limited amount of information …
Advancing content moderation: Evaluating large language models for detecting sensitive content across text, images, and videos
The widespread dissemination of hate speech, harassment, harmful and sexual content, and
violence across websites and media platforms presents substantial challenges and …
violence across websites and media platforms presents substantial challenges and …
Pornographic content classification using deep-learning
Controlling the distribution of sensitive content such as pornography has become paramount
with the ever-growing accessibility to the internet. Manual filtering of such large volumes of …
with the ever-growing accessibility to the internet. Manual filtering of such large volumes of …
Detecting and ranking pornographic content in videos
M Borg, A Tabone, A Bonnici, S Cristina… - Forensic science …, 2022 - Elsevier
The detection and ranking of pornographic material is a challenging task, especially when it
comes to videos, due to factors such as the definition of what is pornographic and its severity …
comes to videos, due to factors such as the definition of what is pornographic and its severity …
An evaluation of traditional and CNN-based feature descriptors for cartoon pornography detection
Inappropriate visual content on the internet has spread everywhere, and thus children are
exposed unintentionally to sexually explicit visual content. Animated cartoon movies …
exposed unintentionally to sexually explicit visual content. Animated cartoon movies …