【Auto ML】《DetNAS: Backbone Search for Object Detection》阅读分享
Paper Reading Note Paper URL：link Code:link TL;DR 文章利用single path搜索框架的拓展性，首次提出搜索检测器backbone的方法，过程包括imagenet的预训练，coco上的finetune，进化算法的子模型搜索。整个算法步骤很清晰，结果也不错, 搜出来的backbone在COCO超过超过resnet50,resnet101,且计算量更
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相关文章
- 1. 论文阅读：Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
- 2. Selective Search for Object Recognition(阅读)
- 3. DetNet: A Backbone network for Object Detection
- 4. DetNet：A Backbone network for Object Detection
- 5. [论文阅读]CBNet|A Novel Composite Backbone Network Architecture for Object Detection
- 6. DetNet: A Backbone network for Object Detection论文阅读记录
- 7. Feature Pyramid Networks for Object Detection 阅读笔记
- 8. 论文阅读-《Focal Loss for Dense Object Detection》
- 9. 翻译：Selective Search for Object Detection
- 10. 论文阅读：EfficientDet: Scalable and Efficient Object Detection