[论文解读] MSCNN: A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
基本情况 《A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection》是发表于ECCV16的一篇很出色的文章，来自加州圣地亚哥的Zhaowei Cai。其基本思路是提出了一种多尺度卷积神经网络，由于不同层的feature map的优势不一样，如较低层的feature map由于感知野较小，因此
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相关文章
- 1. MSCNN论文解读-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 2. 目标检测--A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 3. Convolutional Neural Network - Object Detection
- 4. 论文阅读：Deep Neural Networks for Object Detection
- 5. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 6. 论文解读《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 7. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 8. Deep Neural Networks for Object Detection论文翻译
- 9. Object Detection[论文合集]
- 10. Deep Neural Networks for Object Detection