SDDS-Net: Space and Depth Encoder-Decoder Convolutional Neural Networks for Real-Time Semantic Segmentation

SDDS-Net: Space and Depth Encoder-Decoder Convolutional Neural Networks for Real-Time Semantic Segmentation

In this paper, we propose novel convolutional encoder-decoder architectures for real-time semantic segmentation based on an image-to-image translation approach via the space-to-depth and depth-to-space modules. We present architectures that compress the spatial information of the image using the spa...

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Bibliographic Details
Main Authors: Hatem Ibrahem, Ahmed Salem, Hyun-Soo Kang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
image classification
image-to-image translation
real-time processing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10295434/

Internet

https://ieeexplore.ieee.org/document/10295434/

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