【論文筆記】Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network 使用卷積編碼解碼網絡檢測主要目標的邊緣 網絡結構是： 編碼：VGG-16 解碼：反池化-卷積-激活-dropout 卷積核: The number of channels of every decoder layer is properly des
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相關文章
- 1. 論文：FCOS: Fully Convolutional One-Stage Object Detection
- 2. Convolutional Neural Network - Object Detection
- 3. 論文筆記 R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 4. 論文閱讀 Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network
- 5. R-FCN: Object Detection via Region-based Fully Convolutional Networks 論文筆記
- 6. FCOS: Fully Convolutional One-Stage Object Detection論文筆記
- 7. FCOS: Fully Convolutional One-Stage Object Detection | 論文筆記
- 8. R-FCN論文筆記（R-FCN: Object Detection via Region-based Fully Convolutional Networks）
- 9. FCOS: Fully Convolutional One-Stage Object Detection
- 10. 論文筆記：DetNet：A Backbone network for Object Detection