论文阅读--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
为什么80%的码农都做不了架构师？>>> 论文地址：https://arxiv.org/abs/1608.08021 算法实现：https://github.com/CharlesShang/TFFRCNN 网络设计原则： “less channels with more layers” 。 网络性能：83.8% mAP (mean average precision) on VOC2007
相关文章
- 1. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 2. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection - arxiv 2016.08
- 3. 论文笔记: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
- 4. 论文阅读：Deep Neural Networks for Object Detection
- 5. 【PVANet】《PVANET：Deep but Lightweight Neural Networks for Real-time Object Detection》
- 6. 深度学习【51】物体检测：PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 7. 【目标检测】PVANET:Deep but Lightweight Neural Networks for Real-time Object Detection
- 8. Deep Neural Networks for Object Detection论文翻译
- 9. 【论文阅读笔记】Deep Neural Networks for Object Detection
- 10. Deep Neural Networks for Object Detection
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • PHP 实例 - AJAX RSS 阅读器 - PHP教程
- • JDK13 GA发布：5大特性解读
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 2. PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection - arxiv 2016.08
- 3. 论文笔记: PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
- 4. 论文阅读：Deep Neural Networks for Object Detection
- 5. 【PVANet】《PVANET：Deep but Lightweight Neural Networks for Real-time Object Detection》
- 6. 深度学习【51】物体检测：PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 7. 【目标检测】PVANET:Deep but Lightweight Neural Networks for Real-time Object Detection
- 8. Deep Neural Networks for Object Detection论文翻译
- 9. 【论文阅读笔记】Deep Neural Networks for Object Detection
- 10. Deep Neural Networks for Object Detection