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

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