Semantic segmentation with cross convolution and multi-layer feature refinement
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing
Reference57 articles.
1. Fully convolutional networks for semantic segmentation;Shelhamer;IEEE Trans. Pattern Anal. Mach. Intell.,2017
2. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017
3. Semantic segmentation with context encoding and multi-path decoding;Ding;IEEE Trans. Image Process.,2020
4. U-Net: Convolutional networks for biomedical image segmentation;Ronneberger,2015
5. DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2018
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. TFRNet: Semantic Segmentation Network with Token Filtration and Refinement Method;IEEE Transactions on Multimedia;2024
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