Semantic segmentation using cross-stage feature reweighting and efficient self-attention-Reference-Cited by-同舟云学术

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Semantic segmentation using cross-stage feature reweighting and efficient self-attention

Published:2024-05 Issue: Volume:145 Page:104996
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Ma Yingdong,Lan Xiaobin

Publisher

Elsevier BV

Reference72 articles.

1. Fully convolutional networks for semantic segmentation;Shelhamer;IEEE Trans. Pattern Anal. Mach. Intell.,2017

2. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018

3. Unified perceptual parsing for scene understanding;Xiao,2018

4. Feature refinement with multi-level context for object detection;Ma;Mach. Vis. Appl.,2023

5. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced fully convolutional network based on external attention for low-dose CT denoising;Proceedings of the 2024 6th International Conference on Control and Computer Vision;2024-06-13

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