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Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing. (arXiv:2305.07639v1 [cs.CV])
cs.LG updates on arXiv.org arxiv.org
Popular social media platforms employ neural network based image moderation
engines to classify images uploaded on them as having potentially objectionable
content. Such moderation engines must answer a large number of queries with
heavy computational cost, even though the actual number of images with
objectionable content is usually a tiny fraction. Inspired by recent work on
Neural Group Testing, we propose an approach which exploits this fact to reduce
the overall computational cost of such engines using the technique of …
arxiv classification computational cost detection image images media moderation network neural network outlier platforms popular sensing social social media social media platforms testing