Hanley, Flight & Zimmerman, LLC
Joint training of neural networks using multi scale hard example mining
An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.
Intel Corporation
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Tao Yun Hao Anbang Yurong
Kong Ren Zhao Yao Chen