DeepLabV3+

DeepLabV3是一种用于语义分割任务的深度学习模型。它引入了空洞卷积来增加感受野，以便在不损失信息的情况下捕捉更大范围的上下文信息。这个模型有多个变种，如DeepLabV3+和DeepLabV3plus，它们在不同的基础网络上进行训练和优化。这些基础网络包括ResNet、MobileNet和HRNetV2等。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [基于Pytorch实现的图像分割算法: DeepLabV3+](https://blog.csdn.net/aliexken/article/details/125048133)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [DeepLabV3Plus-Pytorch:DeepLabv3，DeepLabv3 +和VOC和Cityscapes上的预训练权重](https://download.csdn.net/download/weixin_42134038/18645167)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [【DeeplabV3+】DeeplabV3+网络结构详解](https://blog.csdn.net/weixin_45377629/article/details/124083978)[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_2"}}] [.reference_item style="max-width: 33.333333333333336%"]
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