Few-shot Object Detection via Feature Reweighting

时间 2021-01-02

标签 few shot learning 繁體版

原文原文链接

Few-shot Object Detection via Feature Reweighting 模型组成 Feature Extractor Reweighting Module Prediction Layer 训练策略摘要：这是ICCV2019的一片文章，主要是将Few-Shot Learning用于物体检测上面。其核心思是使用具有大量标签的base类训练一个特征调整模块，通过这个模块可

>>阅读原文<<

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 论文笔记
6. 论文阅读笔记《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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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 论文笔记
6. 论文阅读笔记《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》

>>更多相关文章<<