Salient Object Detection: A Survey

Abstract

Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications have emerged, a deep understanding of achievements and issues remains lacking. We aim to provide a comprehensive review of recent progress in salient object detection and situate this field among other closely related areas such as generic scene segmentation, object proposal generation, and saliency for fixation prediction. Covering 228 publications, we survey i) roots, key concepts, and tasks, ii) core techniques and main modeling trends, and iii) datasets and evaluation metrics for salient object detection. We also discuss open problems such as evaluation metrics and dataset bias in model performance, and suggest future research directions.

References in corpus (6)

• Salient Object Detection: A Benchmark
• What makes for effective detection proposals?
• Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
• DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
• What is a salient object? A dataset and a baseline model for salient object detection
• DISC: Deep Image Saliency Computing via Progressive Representation Learning

Cited by in corpus (37)

• Res2Net: A New Multi-scale Backbone Architecture
• Concealed Object Detection
• Artificial Intelligence in the Creative Industries: A Review
• Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
• Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review
• Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
• RGB-D Salient Object Detection: A Survey
• STAR: A Structure and Texture Aware Retinex Model
• CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
• CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection
• Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
• Deep Hough Transform for Semantic Line Detection
• MobileSal: Extremely Efficient RGB-D Salient Object Detection
• Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
• Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
• HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness
• Re-thinking Co-Salient Object Detection
• Advances in Deep Concealed Scene Understanding
• A comprehensive review of Binary Neural Network
• ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
• Light Field Salient Object Detection: A Review and Benchmark
• Cross-layer Feature Pyramid Network for Salient Object Detection
• Middle-level Fusion for Lightweight RGB-D Salient Object Detection
• Salient Objects in Clutter
• GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
• Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
• Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images
• Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection
• Towards Stable Co-saliency Detection and Object Co-segmentation
• Full-Duplex Strategy for Video Object Segmentation
• Continuous Gaze Tracking With Implicit Saliency-Aware Calibration on Mobile Devices
• IDA: Improved Data Augmentation Applied to Salient Object Detection
• Automated Design of Salient Object Detection Algorithms with Brain Programming
• Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision
• UPANets: Learning from the Universal Pixel Attention Networks
• Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception
• Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint