Face Detection Using Improved Faster RCNN

نویسندگان

  • Changzheng Zhang
  • Xiang Xu
  • Dandan Tu
چکیده

Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection. In this report, we propose a detailed designed Faster RCNN method named FDNet1.0 for face detection. Several techniques were employed including multi-scale training, multi-scale testing, light-designed RCNN, some tricks for inference and a vote-based ensemble method. Our method achieves two 1th places and one 2nd place in three tasks over WIDER FACE validation dataset (easy set, medium set, hard set).

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عنوان ژورنال:
  • CoRR

دوره abs/1802.02142  شماره 

صفحات  -

تاریخ انتشار 2018