maskrcnn发展

Mask R-CNN是在Faster R-CNN的基础上加入了掩膜预测的算法。它通过在原始Faster R-CNN算法的基础上增加了FCN来产生对应的MASK分支。具体来说，Mask R-CNN的结构包括RPN（Region Proposal Network）、ROI Align（Region of Interest Alignment）、Fast R-CNN和FCN（Fully Convolutional Networks）。Mask R-CNN还引入了FPN（Feature Pyramid Network）来融合多个阶段的特征图，并通过ROI Align来进行边界框的预测。此外，Mask R-CNN还使用了Mask Prediction branch来进行掩膜预测，默认预测80个类别的掩膜。总结来说，Mask R-CNN是一种结合了目标检测和语义分割的算法，通过预测目标的边界框和掩膜来实现更精细的目标识别和分割。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [Mask R-CNN详解](https://blog.csdn.net/WZZ18191171661/article/details/79453780)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Mask R-CNN演变之路](https://blog.csdn.net/qq_37099552/article/details/103421999)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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