[PDF][PDF] Convolution-Transformer for Image Feature Extraction.
This study addresses the limitations of Transformer models in image feature extraction,
particularly their lack of inductive bias for visual structures. Compared to Convolutional …
particularly their lack of inductive bias for visual structures. Compared to Convolutional …
A survey of graph-based deep learning for anomaly detection in distributed systems
Anomaly detection is a crucial task in complex distributed systems. A thorough
understanding of the requirements and challenges of anomaly detection is pivotal to the …
understanding of the requirements and challenges of anomaly detection is pivotal to the …
Chad: Charlotte anomaly dataset
A Danesh Pazho, G Alinezhad Noghre… - … Conference on Image …, 2023 - Springer
In recent years, we have seen a significant interest in data-driven deep learning approaches
for video anomaly detection, where an algorithm must determine if specific frames of a video …
for video anomaly detection, where an algorithm must determine if specific frames of a video …