A Survey of Semantic Segmentation

Abstract

This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and traditional approaches for segmentation such as unsupervised methods, Decision Forests and SVMs are described and pointers to the relevant papers are given. Recently published approaches with convolutional neural networks are mentioned and typical problematic situations for segmentation algorithms are examined. A taxonomy of segmentation algorithms is given.

Fixed typo in accuracy metrics formula; added value range of accuracy metrics; consistent naming of variables

References in corpus (4)

• Fully Convolutional Networks for Semantic Segmentation
• Instance-aware Semantic Segmentation via Multi-task Network Cascades
• An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images
• Pixel-wise Segmentation of Street with Neural Networks

Cited by in corpus (23)

• A Review on Deep Learning Techniques Applied to Semantic Segmentation
• A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
• Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
• Semantics for Robotic Mapping, Perception and Interaction: A Survey
• OpenEDS: Open Eye Dataset
• Toward quantitative fractography using convolutional neural networks
• Analysis and Optimization of Convolutional Neural Network Architectures
• IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
• Semantic Segmentation of Human Thigh Quadriceps Muscle in Magnetic Resonance Images
• BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction
• Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment
• Unsupervised Object Discovery and Segmentation of RGBD-images
• Image Segmentation of Zona-Ablated Human Blastocysts
• Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
• A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications
• Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines
• Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database
• Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
• Fully Convolutional Network for Melanoma Diagnostics
• Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse Encoder
• An Abstraction Model for Semantic Segmentation Algorithms
• A Hybrid Framework for Matching Printing Design Files to Product Photos
• Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization