Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context

Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context

The main challenge for scene parsing arises when complex scenes with highly diverse objects are encountered. The objects not only differ in scale and appearance but also in semantics. Previous works focus on encoding the multi-scale contextual information (via pooling or atrous convolutions) general...

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Bibliographic Details
Main Authors: Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ling Shao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image processing
neural networks
semantic segmentation
supervised learning
Online Access:https://ieeexplore.ieee.org/document/8861330/

Internet

https://ieeexplore.ieee.org/document/8861330/

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