Paper reading: MobileNet: Efficient Convolutional Neural Networks forMobile Vision Applications
首先，在目標檢測中常說到兩個名詞，「backbone」，「head」? 如果小夥伴已經在這個領域摸爬滾打一陣，估計說，這也要說嘛，但是每個人都是從不會到會的，也許一句話，就可以解決別人心中很久的疑惑，對嗎？ LZ在網上找了個解釋，還算是講的比較清楚的。 在許多計算機視覺任務中，backbone是作爲一個特徵提取器進行使用的，也就是我們常見的在ImageNet,或者COCO等數據集上進行預訓練好的網
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相關文章
- 1. Paper Reading：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 2. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 3. Reading Note: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 4. Mobile-Efficient Convolutional Neural Network for Mobile Vision Applications
- 5. 【論文翻譯】MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- 6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications論文筆記
- 7. （MobileNets）Efficient Convolutional Neural Networks for Mobile Vision Applications論文閱讀筆記
- 8. MobileNets（v1）: Efficient Convolutional Neural Networks for Mobile Vision Applications（2017）論文綜述
- 9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications論文閱讀筆記
- 10. 論文閱讀——MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications