[論文筆記]TextBoxes A Fast Text Detector with a Single Deep Neural Network
TextBoxes A Fast Text Detector with a Single Deep Neural Network 相比於ssd，創新點如下： 1.改變生成的prior boxes的aspect ratios，改爲1,2,3,5,7和10。並且設置了vertical offsets 2.將３×３的卷積核改爲1×５，改善了特徵提取效果。 3.測試階段：將輸入的image重新變形爲5種大
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相關文章
- 1. 論文筆記：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 2. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》閱讀翻譯
- 3. 【Paper Reading】【TextBoxess: A Fast Text Detector with a Single Deep Neural Network】
- 4. 《TextBoxes++: A Single-Shot Oriented Scene Text Detector》論文筆記
- 5. 論文閱讀 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 6. Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car論文筆記
- 7. 【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
- 8. 【論文解讀】Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
- 9. 論文閱讀：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 10. 翻譯和筆記--FOTS: Fast Oriented Text Spotting with a Unified Network