AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images

Neurocomputing(2021)

引用 18|浏览17
暂无评分
摘要
•A deep learning framework for facial age, pornography and child sex abuse detection.•A new CNN with visual attention mechanism and metric learning named as AttM-CNN.•Introduces a new dataset with human labeled 80k images with facial age for juveniles.•Presents another new dataset with 2 million adult pornographic images.•Comparative analysis on ImageNet, age & pornography benchmark datasets and real CSA images.
更多
查看译文
关键词
Child Sexual Abuse (CSA) Detection,Age-group detection,Pornography detection,Convolutional neural network (CNN),Metric learning,Visual attention
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要