An Attention-Based Improved U-Net Neural Network Model for Semantic Segmentation of Moving Objects
Author:
Affiliation:
1. College of Physical Education, Pingdingshan University, Pingdingshan, Henan, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10505293.pdf?arnumber=10505293
Reference38 articles.
1. ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation
2. Maceral groups analysis of coal based on semantic segmentation of photomicrographs via the improved U-net
3. DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images
4. An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation
5. Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection
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