[論文解讀] MSCNN: A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
基本情況 《A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection》是發表於ECCV16的一篇很出色的文章，來自加州聖地亞哥的Zhaowei Cai。其基本思路是提出了一種多尺度卷積神經網絡，由於不同層的feature map的優勢不一樣，如較低層的feature map由於感知野較小，因此
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相關文章
- 1. MSCNN論文解讀-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 2. 目標檢測--A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 3. Convolutional Neural Network - Object Detection
- 4. 論文閱讀：Deep Neural Networks for Object Detection
- 5. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 6. 論文解讀《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
- 7. 論文閱讀《Edge Detection Using Convolutional Neural Network》
- 8. Deep Neural Networks for Object Detection論文翻譯
- 9. Object Detection[論文合集]
- 10. Deep Neural Networks for Object Detection