darknet-53
时间: 2023-09-29 16:08:21 浏览: 73
Darknet-53是yolo v3中用于特征提取的backbone网络结构。它借鉴了yolo v2中的网络结构Darknet-19,但引入了大量的残差结构,并使用步长为2的3×3卷积层代替池化层。这些改进在保证准确率的同时极大地提升了网络的运行速度,使得Darknet-53在特征提取能力上更加有效。Darknet-53是一个非常有效的卷积神经网络,具有较高的准确性和效率,已被广泛应用于计算机视觉领域的图像分类、目标检测、人脸识别等任务中。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [yolov3网络(DarkNet53)结构详解以及Pytorch代码实现](https://blog.csdn.net/Just_do_myself/article/details/123583291)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [Darknet53详细原理(含torch版源码)](https://blog.csdn.net/Code_and516/article/details/129976322)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]