Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis

Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis

Developing computationally efficient semantic segmentation models that are suitable for resource-constrained mobile devices is an open challenge in computer vision research. To address this challenge, we propose a novel real-time semantic scene segmentation model called Multi-encoder Context Aggrega...

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Bibliographic Details
Main Authors: Tanmay Singha, Duc-Son Pham, Aneesh Krishna
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Semantic segmentation
feature scaling
feature aggregation
deep learning
scene understanding
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/10164083/

Internet

https://ieeexplore.ieee.org/document/10164083/

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