Squeeze-and-Attention Networks for Semantic Segmentation | CVPR2020
Squeeze-and-Attention Networks for Semantic Segmentation 语义分割的压缩注意力网络。对SE改进使适用于语义分割 Abstrct： 当前语义分割方向注意力机制的聚合，由于更多的信息特征增强了性能。然而，注意力机制忽视了语义分割的隐藏任务（pixel grouping），并受限于卷积核的网络形状。本文我们提出了一个新的squeeze-and-at
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相关文章
- 1. 【CVPR2020】Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
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- 9. ICCV2019-Asymmetric Non-local Neural Networks for Semantic Segmentation
- 10. 读书笔记《Fully Convolutional Networks for Semantic Segmentation》