Bag of Freebies for Training Object Detection Neural Networks
Abstract 与大量为了得到更好的图像分类模型的研究相比，研究人员在目标检测训练上的研究会由于它的普遍性与普及性的影响少得多。由于复杂多的网络结果，优化目标，许多训练阶段与pipline是专门为检测算法设计的，别的并不通用。本文中，我们研究通用的模型微调技巧，使得在不牺牲inference速度的前提下，增强state of the art目标检测模型的表现到一个新的水平。我们的实验展示出这
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- 1. Bag of Freebies for Training Object Detection Neural Networks
- 2. 论文解读-Bag of Freebies for Training Object Detection Neural Networks
- 3. 论文笔记:Bag of Freebies for Training Object Detection Neural Networks
- 4. 《Bag of Freebies for Training Object Detection Neural Networks》论文理解
- 5. 论文阅读：Bag of Freebies for Training Object Detection Neural Networks
- 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. 目标检测训练优化Tricks：《Bag of Freebies for Training Object Detection Neural Networks》
- 10. 目标检测优化技巧（Bag of Freebies for Training Object Detection Neural Networks）
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相关文章
- 1. Bag of Freebies for Training Object Detection Neural Networks
- 2. 论文解读-Bag of Freebies for Training Object Detection Neural Networks
- 3. 论文笔记:Bag of Freebies for Training Object Detection Neural Networks
- 4. 《Bag of Freebies for Training Object Detection Neural Networks》论文理解
- 5. 论文阅读：Bag of Freebies for Training Object Detection Neural Networks
- 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. 目标检测训练优化Tricks：《Bag of Freebies for Training Object Detection Neural Networks》
- 10. 目标检测优化技巧（Bag of Freebies for Training Object Detection Neural Networks）