Hi, I am doing object detection. To improve my detection result I want to do Hard negative mining to minimize false detection. But I don't know that how to do it? Can someone explain it with providing MATLAB/c/c++ code.
Look at the RCNN code, it includes hard negative mining: https://github.com/rbgirshick/rcnn/blob/master/rcnn_train.m
Section 4.4 of Object Detection with Discriminatively Trained
Part Based Models explains the process:
http://cs.brown.edu/~pff/papers/lsvm-pami.pdf
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