Video anomaly detection (VAD) is a significant computer vision problem. Existing deep
neural network (DNN) based VAD methods mostly follow the route of frame reconstruction or …

X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

Since the invention of the X-ray beam, it has been used for useful applications in various
fields, such as medical diagnosis, fluoroscopy, radiation therapy, and computed …

Existing methods for anomaly detection based on memory-augmented autoencoder (AE)
have the following drawbacks:(1) Establishing a memory bank requires additional memory …

Weakly supervised video anomaly detection (WSVAD) is a challenging task. Generating fine-
grained pseudo-labels based on weak-label and then self-training a classifier is currently a …

Abstract Prohibited Object Detection (POD) in X-ray images plays an important role in
protecting public safety. Automatic and accurate POD is required to relieve the working …

X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …

Prohibited item detection in X-ray images is one of the most essential and highly effective
methods widely employed in various security inspection scenarios. Considering the …

Image entropy is the metric used to represent a complexity of an image. This study considers
the hypothesis that image entropy differences affect machine learning algorithms' …

X-ray prohibited items detection is an essential and highly effective method that has been
widely used in inspection scenarios. To satisfy the practical demand for high accuracy in …