In this paper, we use shallow neural networks to achieve semantic segmentation for intelligent transportation system.

Jul 25, 2022 · We propose Multi-Feature Fusion Network (MFNet) with real-time efficient prediction capacity. MFNet adopts three branches (attention, semantic and spatial ...

The proposed Multi-Feature Fusion Network (MFNet) with real-time efficient prediction capacity adopts three branches (attention, semantic and spatial ...

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Semantic segmentation for road scenes aims to predict specific categories for each pixel in road images, playing a crucial role in various applications such ...

This module significantly enhances road extraction performance, particularly in scenarios involving texture-similar objects. We design a spatial channel feature ...

Jun 3, 2023 · We propose a model that can achieve ultra-high-precision semantic segmentation. The model consists of a local branch, a surrounding branch, and a global branch.

Jun 1, 2021 · In this paper, we use shallow neural networks to achieve semantic segmentation for intelligent transportation system. Specifically, we propose a ...

May 16, 2024 · In this work, a road scene segmentation network based on multi-scale feature fusion and context information aggregation is proposed, in which ...

Oct 22, 2024 · Real-time semantic segmentation for urban scenes necessitates a balance between accuracy, inference speed, and model size. In this paper, we ...