(Few-shot Detection)Review: Fews-shot Object Detection Feature Reweighting
Ref feature reweighting pytorch Implement 1. 提出研究的問題 對於few-shot分類而言，可以採用學習prototype的方式學習一箇中心，但是如果用於目標檢測，很難匹配和定位一個物體。因爲在圖像中會有很多的干擾因素和非目標物體。 2. 提出方案 Feature Extractor module Feature Extractor從 query ima
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相關文章
- 1. Few-shot Object Detection via Feature Reweighting
- 2. ICCV 2019 Few-shot Object Detection via Feature Reweighting
- 3. Few-shot Object Detection via Feature Reweighting (ICCV2019)
- 4. (Few-shot detection)Review: Few-shot Object Detection via 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》