Railway foreign object detection is crucial to railway safety,and Deep Learning is an important technol-ogy for safety monitoring in the field of railway foreign object detection.In this regard,the railway foreign object detection method based on Deep Learning is introduced,and the deep learning algorithm of railway foreign object detection is introduced and compared;Secondly,the current situation of railway foreign object detection is summa-rized from the aspect of Deep Learning.The problems of robustness and small target detection of existing models are summarized,and prospects are proposed.
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