BriefGPT.xyz
May, 2020
IterDet:拥挤环境中目标检测的迭代方案
IterDet: Iterative Scheme for ObjectDetection in Crowded Environments
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Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin
TL;DR
本文提出一种基于迭代方案的物体检测算法,通过在每次迭代中检测新的子集,然后将之前的检测结果传递到后续迭代以确保不会检测到同一对象,改进了现有的基于深度学习的物体检测算法,并在CrowdHuman和WiderPerson数据集上实现了最先进的性能。
Abstract
deep learning
-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object. These boxes are then filtered using
non-maximum suppression
(NMS) in
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