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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 De-raining semantic segmentation network for real-time foreground segmentation

16 Apr 2021

According to the control experiments, the performances of MultiScaleSE Block and Asymmetric Skip compared with SEResNet18 and Symmetric Skip respectively are improved to a certain degree on the Foreground Accuracy index.

REAL-TIME SEMANTIC SEGMENTATION

Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data

25 Mar 2021

Inspired by the ideas of Fine-tuning-based Transfer Learning (FTT) and feature-based knowledge distillation, we propose a new knowledge distillation method for cross-domain knowledge transference and efficient data-insufficient network training, named Spirit Distillation(SD), which allow the student network to mimic the teacher network to extract general features, so that a compact and accurate student network can be trained for real-time semantic segmentation of road scenes.

AUTONOMOUS DRIVING FEW-SHOT LEARNING KNOWLEDGE DISTILLATION REAL-TIME SEMANTIC SEGMENTATION TRANSFER LEARNING

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

24 Mar 2021

In recent years, how to strike a good trade-off between accuracy and inference speed has become the core issue for real-time semantic segmentation applications, which plays a vital role in real-world scenarios such as autonomous driving systems and drones.

AUTONOMOUS DRIVING REAL-TIME SEMANTIC SEGMENTATION

Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired

6 Mar 2021

As the scene information, including objectness and scene type, are important for people with visual impairment, in this work we present a multi-task efficient perception system for the scene parsing and recognition tasks.

REAL-TIME SEMANTIC SEGMENTATION SCENE RECOGNITION

Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation

30 Jan 2021

To verify the efficiency of the proposed bilateral attention decoder, we adopt a lightweight network as the backbone and compare our proposed method with other state-of-the-art real-time semantic segmentation methods on the Cityscapes and Camvid datasets.

REAL-TIME SEMANTIC SEGMENTATION

SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation

24 Nov 2020

SegBlocks reduces the computational cost of existing neural networks, by dynamically adjusting the processing resolution of image regions based on their complexity.

REAL-TIME SEMANTIC SEGMENTATION

Real-time Semantic Segmentation with Context Aggregation Network

2 Nov 2020

With the increasing demand of autonomous systems, pixelwise semantic segmentation for visual scene understanding needs to be not only accurate but also efficient for potential real-time applications.

REAL-TIME SEMANTIC SEGMENTATION SCENE UNDERSTANDING

Dense Dual-Path Network for Real-time Semantic Segmentation

21 Oct 2020

We design a light-weight and powerful backbone with dense connectivity to facilitate feature reuse throughout the whole network and the proposed Dual-Path module (DPM) to sufficiently aggregate multi-scale contexts.

REAL-TIME SEMANTIC SEGMENTATION

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform

20 Aug 2020

Real-time semantic segmentation of LiDAR data is crucial for autonomously driving vehicles, which are usually equipped with an embedded platform and have limited computational resources.

AUTONOMOUS VEHICLES REAL-TIME 3D SEMANTIC SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION