[Paper Reading Note]EfficientDet: Scalable and Efficient Object Detection
Paper Reading Note URL: https://arxiv.org/pdf/1911.09070.pdf TL;DR Google Brain團隊基於EfficientNets的後續工作，提出了改進版的FPN, BiFPN, 該結構在PANet的基礎上進行了重新設計，並引入了對特徵的加權，另外，加入compound scaling方法，形成了EfficientDet。如圖1所示，Ef
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相關文章
- 1. 谷歌大腦刷新coco準確率 EfficientDet: Scalable and Efficient Object Detection
- 2. EfficientDet: Scalable and Efficient Object Detection
- 3. Paper Reading《Relation Networks for Object Detection》
- 4. EfficientDet: Scalable and Efficient Object Detection(BiFPN)
- 5. [Paper Reading]FCOS: Fully Convolutional One-Stage Object Detection
- 6. 【paper reading】《Proposal learning for semi-supervised object detection》
- 7. 論文閱讀：EfficientDet: Scalable and Efficient Object Detection
- 8. Paper reading :Hierarchical Saliency Detection
- 9. 筆記：EfficientDet: Scalable and Efficient Object Detection
- 10. [paper reading] CenterNet (Object as Points)