【論文筆記】：Learning Rich Features at High-Speed for Single-Shot Object Detection
&Title: ICCV 2019 Learning Rich Features at High-Speed for Single-Shot Object Detection 代碼 &Summary 作者設計了一個one-stage檢測框架，它結合了微調預訓練模型和從零開始訓練的優點。該框架包括一個預訓練過的標準backbone網絡，一個輕量級的從零開始訓練的輔助網絡。此外，作者認爲通常使用的自頂
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相關文章
- 1. Learning Rich Features at High-Speed for Single-Shot Object Detection 論文筆記
- 2. 論文筆記：Learning Region Features for Object Detection
- 3. 《Learning Rich Features at High-Speed for Single-Shot Object Detection》筆記
- 4. Learning Region Features for Object Detection
- 5. 論文筆記：Rich feature hierarchies for accurate object detection and semantic segmentation
- 6. Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
- 7. 【論文閱讀筆記】Rich feature hierarchies for accurate object detection and semantic segmentation
- 8. 論文：Rich feature hierarchies for accurate object detection and semantic segmentation 個人筆記
- 9. 論文筆記：Rich feature hierarchies for accurate object detection and semantic segmentation(R-CNN)
- 10. Richer Convolutional Features for Edge Detection論文筆記