Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey

Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey

Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. We...

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Bibliographic Details
Main Authors: Cristina Carunta, Alina Carunta, Calin-Adrian Popa
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Complex deep learning models
convolutional neural networks
real-time models
semantic segmentation
Transformer model
Online Access:https://ieeexplore.ieee.org/document/10840225/
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https://ieeexplore.ieee.org/document/10840225/

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