Enhancement of SSD by concatenating feature maps for object detection筆記
《Enhancement of SSD by concatenating feature maps for object detection》論文閱讀 摘要： 用resnet網絡代替傳統SSD當中的分類網絡VGG，共享權重的屬性使得訓練更快，泛化能力更好。在VOC2007和VOC2012組成的訓練庫上做的訓練，在VOC2007測試庫上做的測試。輸入圖像的大小爲300*300時，實現的map是78.
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相關文章
- 1. [論文筆記]Enhancement of SSD by concatenating feature maps for object detection
- 2. Enhancement of SSD by concatenating feature maps for object detection（R-SSD）
- 3. 目標檢測--Enhancement of SSD by concatenating feature maps for object detection
- 4. Feature Pyramid Networks for Object Detection 閱讀筆記
- 5. Feature Pyramid Networks for Object Detection 學習筆記
- 6. Object Detection《SSD》筆記（5）
- 7. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
- 8. Object Detection 之Feature Pyramid Networks for Object Detection(FPN)
- 9. 【FPN】《Feature Pyramid Networks for Object Detection》
- 10. Feature Pyramid Networks for Object Detection