Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting 模型組成 Feature Extractor Reweighting Module Prediction Layer 訓練策略 摘要：這是ICCV2019的一片文章，主要是將Few-Shot Learning用於物體檢測上面。其核心思是使用具有大量標籤的base類訓練一個特徵調整模塊，通過這個模塊可
相關文章
- 1. ICCV 2019 Few-shot Object Detection via Feature Reweighting
- 2. Few-shot Object Detection via Feature Reweighting (ICCV2019)
- 3. (Few-shot detection)Review: Few-shot Object Detection via Feature Reweighting
- 4. (Few-shot Detection)Review: Fews-shot Object Detection Feature Reweighting
- 5. Few-shot Object Detection via Feature Reweighting 論文筆記
- 6. 論文閱讀筆記《Few-shot Object Detection via Feature Reweighting》
- 7. Object Detection 之Feature Pyramid Networks for Object Detection(FPN)
- 8. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
- 9. FPN: Feature Pyramid Networks for Object Detection
- 10. 【FPN】《Feature Pyramid Networks for Object Detection》
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相關文章
- 1. ICCV 2019 Few-shot Object Detection via Feature Reweighting
- 2. Few-shot Object Detection via Feature Reweighting (ICCV2019)
- 3. (Few-shot detection)Review: Few-shot Object Detection via Feature Reweighting
- 4. (Few-shot Detection)Review: Fews-shot Object Detection Feature Reweighting
- 5. Few-shot Object Detection via Feature Reweighting 論文筆記
- 6. 論文閱讀筆記《Few-shot Object Detection via Feature Reweighting》
- 7. Object Detection 之Feature Pyramid Networks for Object Detection(FPN)
- 8. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
- 9. FPN: Feature Pyramid Networks for Object Detection
- 10. 【FPN】《Feature Pyramid Networks for Object Detection》