激光与光电子学进展, 2018, 55 (10): 101003, 网络出版: 2018-10-14   

残差网络下基于困难样本挖掘的目标检测 下载: 902次

Object Detection Based on Hard Examples Mining Using Residual Network
作者单位
江南大学轻工过程先进控制教育部重点实验室, 江苏 无锡 214122
引用该论文

张超, 陈莹. 残差网络下基于困难样本挖掘的目标检测[J]. 激光与光电子学进展, 2018, 55(10): 101003.

Zhang Chao, Chen Ying. Object Detection Based on Hard Examples Mining Using Residual Network[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101003.

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张超, 陈莹. 残差网络下基于困难样本挖掘的目标检测[J]. 激光与光电子学进展, 2018, 55(10): 101003. Zhang Chao, Chen Ying. Object Detection Based on Hard Examples Mining Using Residual Network[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101003.

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