[論文閱讀]Object Detection With Deep Learning: A Review
題目：Object Detection With Deep Learning: A Review 作者：Zhong-Qiu Zhao、 Peng Zheng、Shou-Tao Xu, and Xindong Wu Motivation: 作者想寫一篇綜述 Methods: 作者介紹了傳統目標檢測的三步：感興趣區域提取、特徵提取、分類 作者又說了目標檢測的領域劃分，然後分別作詳細介紹。 然後作者分析
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相關文章
- 1. 論文閱讀：Deep Neural Networks for Object Detection
- 2. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
- 3. 論文閱讀TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
- 4. [論文閱讀]Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks
- 5. Deep Learning Object Detection
- 6. Machine Learning & Deep Learning 論文閱讀筆記
- 7. 論文閱讀：EfficientDet: Scalable and Efficient Object Detection
- 8. Hierarchical Object Detection with Deep Reinforcement Learning論文筆記
- 9. 論文閱讀：FCOS：Fully Convolutional One-Stage Object Detection
- 10. 論文閱讀--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection