Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Network
文章的思路很簡單，類似於SENet(對channel做attention)、spacial attention就是將channel分爲group， 然後對每個group進行spatial的attention 模塊如上圖所示， 1、將feature map按channel維度分爲G個group 2、對每個group單獨進行attention 3、對group進行global average pool
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相關文章
- 1. SGE——Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
- 2. Learning a Discriminative Feature Network for Semantic Segmentation
- 3. Skipnet: Learning Dynamic rounting in convolutional network
- 4. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 5. Learning a Discriminative Feature Network for Semantic Segmentation_CVPR2018
- 6. Improving Facial Attribute Prediction using Semantic Segmentation, in arxiv 2017.04
- 7. 【論文筆記】Learning Deconvolution Network for Semantic Segmentation
- 8. AugFPN: Improving Multi-scale Feature Learning for Object Detection
- 9. Review of Semantic Segmentation with Deep Learning
- 10. RCNN(Regions with Convolutional Neural Network Feature)