论文阅读：Bag of Freebies for Training Object Detection Neural Networks
重点如下 多目标检测需要保持空间变换信息（相反，分类任务需要对空间变化不敏感），因此不能直接用原始的（用于分类任务）mixup。本文提出了 visual coherent mixup。 We first explore the mixup technique on object detection. Unlikewe recognize the special property of multip
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相关文章
- 1. 论文阅读：Bag of Freebies for Training Object Detection Neural Networks
- 2. Bag of Freebies for Training Object Detection Neural Networks
- 3. 论文解读-Bag of Freebies for Training Object Detection Neural Networks
- 4. 论文笔记:Bag of Freebies for Training Object Detection Neural Networks
- 5. 《Bag of Freebies for Training Object Detection Neural Networks》论文理解
- 6. Bag of Freebies for Training Object Detection Neural Networks 论文笔记
- 7. Bag of Freebies for Training Object Detection Neural Networks学习笔记
- 8. 目标检测tricks:Bag of Freebies for Training Object Detection Neural Networks
- 9. 论文阅读：Deep Neural Networks for Object Detection
- 10. 目标检测训练优化Tricks：《Bag of Freebies for Training Object Detection Neural Networks》