(37)[NIPS13] Deep Neural Networks for Object Detection
計劃完成深度學習入門的126篇論文第三十七篇，Google的Christian Szegedy等發表的在文本分類的Bag技巧的論文。 Abstract 深度神經網絡(DNNs)最近在圖像分類任務[14]中表現出了優異的性能。在本文中，咱們進一步解決了使用DNNs進行目標檢測的問題，即不只分類並且精肯定位各類類的目標。咱們提出了一種簡單而強大的對象檢測公式，將其做爲對象邊界框Mask的迴歸問題。咱們
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相關文章
- 1. Deep Neural Networks for Object Detection
- 2. Deep Neural Networks for Object Detection論文翻譯
- 3. 論文閱讀：Deep Neural Networks for Object Detection
- 4. Deep Learning Specialization 4: Convolutional Neural Networks - Week3 - Object Detection
- 5. Deep Saliency:Multi_Task Deep Neural Network Model for Salient object detection
- 6. Bag of Freebies for Training Object Detection Neural Networks
- 7. 基於DNN的目標檢測Deep Neural Networks for Object Detection
- 8. 論文閱讀--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 9. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 10. 論文筆記: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection