With the strong support of country for bridge construction and increase in supervision safety old bridges, visual-based crack target detection has a problem incomplete framing due to characteristics target, reflecting current algorithm model's poor ability accurately identify targets. In this paper, YOLO V5 was used address issue accuracy detection, relevant dataset created. Three attention mec...

Camera surveillance is widely used in residential areas, highways, schools and other public places. The monitoring scanning of sudden abnormal events depend on humans. Human anomaly not only consumes a lot manpower time but also has large error detection. Video detection based AE (Auto-Encoder) currently the dominant research approach. model highly symmetrical network structure encoding decodin...

Over the past few years, attention is shining in field of deep learning, especially domain natural language processing (NLP). Its impressive effectiveness, along with ubiquitous implementations, have aroused our interest efficiently scheduling data-flow corresponding computations onto architectures many computing units to realize parallel computing. In this paper, based on manually analyzing op...

Low-light image enhancement is a crucial preprocessing task in complex vision tasks. It directly impacts object detection, segmentation, and recognition outcomes. In recent years, with the continuous development of deep learning techniques, an increasing number methods based on have emerged. However, due to high cost data collection limited content supervised datasets, more scholars shifted the...