MSCNN論文解讀-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
多尺度深度卷積神經網絡進行快速目標檢測： 兩階段目標檢測器，與faster-rcnn相似，分爲an object proposal network and an accurate detection network. 文章主要解決的是目標大小不一致的問題，尤其是對小目標的檢測，通過多層次的結構，實現多尺度的目標檢測。 之前所使用的簡單的單一尺度的目標檢測器通常爲了識別出圖片中大小適中的目標而將感
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相關文章
- 1. [論文解讀] MSCNN: 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. Deep Neural Networks for Object Detection
- 10. [論文閱讀]Object Detection With Deep Learning: A Review