Efficient Multi-Scale Attention Module with Cross-Spatial Learning
Author:
Affiliation:
1. Aerospace Science & Industry Shenzhen (Group) Co., Ltd,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096516.pdf?arnumber=10096516
Reference23 articles.
1. SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
2. Rotate to Attend: Convolutional Triplet Attention Module
3. TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
4. Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification
5. Dual Attention Network for Scene Segmentation
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