(37)[NIPS13] Deep Neural Networks for Object Detection
计划完成深度学习入门的126篇论文第三十七篇，Google的Christian Szegedy等发表的在文本分类的Bag技巧的论文。 Abstract 深度神经网络(DNNs)最近在图像分类任务[14]中表现出了优异的性能。在本文中，咱们进一步解决了使用DNNs进行目标检测的问题，即不只分类并且精肯定位各类类的目标。咱们提出了一种简单而强大的对象检测公式，将其做为对象边界框Mask的回归问题。咱们
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相关文章
- 1. Deep Neural Networks for Object Detection
- 2. Deep Neural Networks for Object Detection论文翻译
- 3. 论文阅读：Deep Neural Networks for Object Detection
- 4. Deep Learning Specialization 4: Convolutional Neural Networks - Week3 - Object Detection
- 5. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 6. Bag of Freebies for Training Object Detection Neural Networks
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- 8. 论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 9. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 10. 论文笔记: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection