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Real-Time Semantic Segmentation

29 papers with code ยท 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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Latest papers without code

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.

AUTONOMOUS VEHICLES REAL-TIME SEMANTIC SEGMENTATION

DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

CVPR 2019

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

REAL-TIME SEMANTIC SEGMENTATION

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.

HAND SEGMENTATION 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.

IMAGE CLASSIFICATION MULTI-TASK LEARNING OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

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 $\mathcal{S}$.

OBJECT TRACKING REAL-TIME SEMANTIC SEGMENTATION

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.

REAL-TIME SEMANTIC SEGMENTATION

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.

3D OBJECT DETECTION AUTONOMOUS DRIVING REAL-TIME SEMANTIC SEGMENTATION

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.

REAL-TIME SEMANTIC SEGMENTATION