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Apr, 2019
重新思考物体检测的分类和定位
Rethinking Classification and Localization in R-CNN
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Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang...
TL;DR
通过全面分析,我们发现全连接头和卷积头对于分类和定位任务具有相反的偏好,因此我们提出了一种Double-Head方法,其中全连接头专注于分类,卷积头用于边界框回归,该方法在MS COCO数据集上得到了优异的表现。
Abstract
Modern
r-cnn based detectors
share the RoI feature extractor head for both
classification
and
localization
tasks, based upon the correlati
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