RefineDet - Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

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By Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. We propose a novel single-shot based detector, called RefineDet, that achieves better accuracy than two-stage methods and maintains comparable efficiency of one-stage methods. You can use the code to train/evaluate the RefineDet method for object detection. For more details, please refer to our paper.

https://github.com/sfzhang15/RefineDet

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