KidsGUARD
Author:
Affiliation:
1. Indraprastha Institute of Information Technology, Delhi
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3297280.3297487
Reference47 articles.
1. Pooling in image representation: The visual codeword point of view
2. Identifying fraudulently promoted online videos
3. LIBSVM
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analyzing Ad Exposure and Content in Child-Oriented Videos on YouTube;Proceedings of the ACM Web Conference 2024;2024-05-13
2. Utilizing Age‐Adaptive Deep Learning Approaches for Detecting Inappropriate Video Content;Human Behavior and Emerging Technologies;2024-01
3. The Potential of Vision-Language Models for Content Moderation of Children's Videos;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
4. An empirical study of various detection based techniques with divergent learning’s;Web Intelligence;2023-10-27
5. Protecting our Children from the Dark Corners of YouTube: A Cutting-Edge Analysis;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06
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