A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning

Gao, Meng; Sima, Haifeng

A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning

Gao, Meng and Sima, Haifeng (2025) A Review of Real-Time Semantic Segmentation Methods for 2D Data in the Context of Deep Learning. EAI Endorsed Transactions on e-Learning.

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Abstract

Semantic segmentation is a key research topic in the field of computer vision, aiming to assign each pixel to the corresponding category based on the semantic information in the image. This technology has significant application value in fields such as virtual reality and autonomous driving.With the

Item Type:	Article
Date Deposited:	04 Mar 2026 18:31
Last Modified:	10 Apr 2026 22:57
URI:	http://eprints.eai.eu/id/eprint/52846

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