The demo analyzes a dataset of 3,823 images of handwritten digits where each image is 8 by 8 pixels. The demo program presented in this article uses image data, but the autoencoder anomaly detection ...

Autoencoder: A neural network architecture designed to learn compressed representations of data, ... Anomaly Detection in Images Using Deep Learning Techniques Publication Trend.

Deep industrial image anomaly detection: A survey. Beijing Zhongke Journal Publising Co. Ltd. Journal Machine Intelligence Research DOI 10.1007/s11633-023-1459-z ...

Image anomaly detection is a task that comes up in data analysis in many industries. Medical scans, however, pose a particular challenge. It is way easier for algorithms to find, ...

Paper 414: Detecting manipulated media is crucial to combat misinformation. Advancements in image generation and manipulation technology offer both opportunities and risks. Detecting manipulated ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...