|
|
|
|
|
Ying Jing, Hong Zheng, Wentao Zheng and Kaihan Dong
In the aviation industry, foreign object debris (FOD) on airport runways is a serious threat to aircraft during takeoff and landing. Therefore, FOD detection is important for improving the safety of aircraft flight. In this paper, an unsupervised anomaly...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lu Wang, Dongkai Zhang, Jiahao Guo and Yuexing Han
Detecting image anomalies automatically in industrial scenarios can improve economic efficiency, but the scarcity of anomalous samples increases the challenge of the task. Recently, autoencoder has been widely used in image anomaly detection without usin...
ver más
|
|
|
|
|
|