Training Region-Based Object Detectors with Online Hard Example Mining

Abstract

The field of object detection has made significant advances riding on the wave of region-based ConvNets, but their training procedure still includes many heuristics and hyperparameters that are costly to tune. We present a simple yet surprisingly effective online hard example mining (OHEM) algorithm for training region-based ConvNet detectors. Our… (More)
DOI: 10.1109/CVPR.2016.89

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@article{Shrivastava2016TrainingRO, title={Training Region-Based Object Detectors with Online Hard Example Mining}, author={Abhinav Shrivastava and Abhinav Gupta and Ross B. Girshick}, journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2016}, pages={761-769} }