BiDet: An Efficient Binarized Object Detector

9 Mar 2020Ziwei WangZiyi WuJiwen LuJie Zhou

In this paper, we propose a binarized neural network learning method called BiDet for efficient object detection. Conventional network binarization methods directly quantize the weights and activations in one-stage or two-stage detectors with constrained representational capacity, so that the information redundancy in the networks causes numerous false positives and degrades the performance significantly... (read more)

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