基于DNN的目标检测Deep Neural Networks for Object Detection
论文地址：http://papers.nips.cc/paper/5207-deep-neural-networks-for-object-detection.pdf 1.简述 文章发表于2013年，在当时cnn对目标边界框的定位表现还不是很好，当时对目标检测的主流算法之一是the deformable part-based model，这种方法由在star model里一系列分别的训练部分组
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相关文章
- 1. 基于DNN的目标检测Deep Neural Networks for Object Detection
- 2. 20180711_Deep Neural Networks for Object Detection_基于DNN的对象检测
- 3. Deep Neural Networks for Object Detection
- 4. 目标检测--Scalable Object Detection using Deep Neural Networks(CVPR 2014)
- 5. 【目标检测】Relation Networks for Object Detection
- 6. 目标检测tricks:Bag of Freebies for Training Object Detection Neural Networks
- 7. 【目标检测】PVANET:Deep but Lightweight Neural Networks for Real-time Object Detection
- 8. 目标检测--A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
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- 10. 论文阅读：Deep Neural Networks for Object Detection