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Real-Time Semantic Segmentation Edit

29 papers with code · Computer Vision

Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).

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A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network

26 Jul 2019

Furthermore, we make a detailed analysis and comparison of the three proposed methods on the promotion of recall rate.

DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints.

Random Forest with Learned Representations for Semantic Segmentation

23 Jan 2019

In this work, we present a random forest framework that learns the weights, shapes, and sparsities of feature representations for real-time semantic segmentation.

Design of Real-time Semantic Segmentation Decoder for Automated Driving

19 Jan 2019

Semantic segmentation remains a computationally intensive algorithm for embedded deployment even with the rapid growth of computation power.

Background Subtraction with Real-time Semantic Segmentation

25 Nov 2018

Our proposed framework consists of two components, a traditional BGS segmenter $\mathcal{B}$ and a real-time semantic segmenter $\mathcal{S}$.

Guided Upsampling Network for Real-Time Semantic Segmentation

19 Jul 2018

We propose a Neural Network named Guided Upsampling Network which consists of a multiresolution architecture that jointly exploits high-resolution and large context information.

PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud

17 Jul 2018

We take the spherical image, which is transformed from the 3D LiDAR point clouds, as input of the convolutional neural networks (CNNs) to predict the point-wise semantic map.

Efficient Semantic Segmentation using Gradual Grouping

22 Jun 2018

We study the effectiveness of these techniques on a real-time semantic segmentation architecture like ERFNet for improving run time by over 5X.