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How Far are We from Solving Pedestrian Detection?
时间 2021-07-10
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CNN
ICF
行人检测
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是一篇综述性文章。 作者为了得知当前最好的检测方法还有多大发展空间,采取的方法就是将当前较好的检测方法与人工检测做对比。 人工检测方法:从头顶到双脚之间画一道线,框出人所在的位置。 对比方式:自动检测方法画出的方框如果与人工检测的方框重合度达到50%以上,就认为检测到了此行人。 对比结果:最好的检测方法也比人工检测的效果差了10%。 P.S.checkerboards最好,checkerboard
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相关文章
1.
How Far are We from Solving Pedestrian Detection?
2.
人脸对齐--How far are we from solving the 2D & 3D Face Alignment problem
3.
【论文解读】How far are we from solving the 2D & 3D Face Alignment problem?
4.
paper 157:文章解读--How far are we from solving the 2D & 3D Face Alignment problem?-(and a dataset of 23
5.
【英语】We are the world, we are the future
6.
Caltech Pedestrian Detection Benchmark
7.
CUHK Occlusion Dataset (for pedestrian detection)
8.
HDU 2586 How far away?
9.
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction
10.
we are the champion!!!!
>>更多相关文章<<