推荐通过CNN提取图像语义特征的论文

以下是一些使用CNN提取图像语义特征的论文：

1. "ImageNet Classification with Deep Convolutional Neural Networks" by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton
2. "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan and Andrew Zisserman
3. "Going Deeper with Convolutions" by Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich
4. "ResNet: Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
5. "Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning" by Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alex Alemi
6. "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun
7. "DenseNet: Densely Connected Convolutional Networks" by Gao Huang, Zhuang Liu, Kilian Q. Weinberger, and Laurens van der Maaten
8. "Mask R-CNN" by Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick

这些论文均是深度学习领域的经典之作，对于理解和掌握使用CNN提取图像语义特征的方法具有重要的参考价值。