PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask
Author:
Affiliation:
1. Chongqing University of Technology, Chongqing, China
2. Chinese University of Hong Kong, Hong Kong
3. Chongqing University, Chongqing, China
4. University of Macau, Macau, China
Funder
National Natural Science Foundation of China
Chongqing University of Technology Research Startup Funding
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10384454/10305430.pdf?arnumber=10305430
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1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
5. Rethinking atrous convolution for semantic image segmentation;Chen,2017
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