Atrous convolutional feature network for weakly supervised semantic segmentation

Title
Atrous convolutional feature network for weakly supervised semantic segmentation
Authors
Keywords
Weakly supervised semantic segmentation, Multi-label image classification, Atrous convolution, Multi-scale features, Attention mechanism
Journal
NEUROCOMPUTING
Volume 421, Issue -, Pages 115-126
Publisher
Elsevier BV
Online
2020-10-06
DOI
10.1016/j.neucom.2020.09.045

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started