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Weidong Hu

2 accepted papers

2019

High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection

CVPR 2019poster

Object detection generally requires sliding-window classifiers in tradition or anchor-based predictions in modern deep learning approaches. However, either of these approaches requires tedious configurations in windows or anchors. In this paper, taking pedestrian detection as an example, we provide…

Cited by 530PDFcodeScholar
2018

Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting

ECCV 2018poster

Though Faster R-CNN based two-stage detectors have witnessed significant boost in pedestrian detection accuracy, it is still slow for practical applications. One solution is to simplify this working flow as a single-stage detector. However, current single-stage detectors (e.g. SSD) have not presente…