深度学习论文: Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation

2024-06-17 21:55:55

深度学习论文: Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation
Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation
PDF: https://arxiv.org/pdf/2005.11034v4.pdf
PyTorch代码: https://github.com/shanglianlm0525/CvPytorch
PyTorch代码: https://github.com/shanglianlm0525/PyTorch-Networks

1 概述

SGCPNet提出了一种新的空间细节引导的上下文传播策略。它能有效地在全局上下文内重建丢失的空间信息，因此无需通过网络管道维持高分辨率特征图。

2 Spatial-detail Guided Context Propagation Network (SGCPNet)

2-1 Spatial-detail Guided Context Propagation Strategy

上下文传播（context propagation）应该满足两个要求：
1）在上下文传播期间，上下文信息应该与相邻像素中包含的空间细节一致；
2）在上下文传播之后，可以尽可能多地恢复原始的全局上下文。
因此，空间细节上下文传播策略通过构建一个双向传输通道来实现，分别称之为自顶向下路径和自底向上路径。

2-2 Architecture of SGCPNet

提出的SGCPNet 结构，其中backbone为MobileNet v3

3 Experiments

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