Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation

Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation

Deep convolutional neural networks (DCNNs) trained on the pixel-wise annotated images have dramatically improved the state-of-the-art in semantic segmentation. However, due to the high cost of labeling training data, its application has great limitation. In this paper, we propose a DCNNs model for g...

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Bibliographic Details
Main Authors: Yanqing Feng, Lunwen Wang, Mengbo Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Weakly supervised
semantic segmentation
deep learning
convolutional neural networks
image segmentation
image processing
Online Access:https://ieeexplore.ieee.org/document/8755839/

Internet

https://ieeexplore.ieee.org/document/8755839/

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