Face Detection Using Improved Faster RCNN

6 Feb 2018  ·  Changzheng Zhang, Xiang Xu, Dandan Tu ·

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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Datasets


Results from the Paper


Task Dataset Model Metric Name Metric Value Global Rank Benchmark
Face Detection WIDER Face (Easy) FDNet AP 0.950 # 17
Face Detection WIDER Face (Hard) FDNet AP 0.896 # 9
Face Detection WIDER Face (Medium) FDNet AP 0.939 # 16

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