Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Global contrast based salient region detection
Salient region detection and segmentation
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Deep Level Sets for Salient Object Detection
A Stagewise Refinement Model for Detecting Salient Objects in Images
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach
Structure-Sensitive Saliency Detection via Multilevel Rank Analysis in Intrinsic Feature Space
Segmenting salient objects from images and videos
Supervised adversarial networks for image saliency detection
HARF: Hierarchy-Associated Rich Features for Salient Object Detection
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond
Saliency Optimization from Robust Background Detection
Instance-Level Salient Object Segmentation
Self-explanatory Deep Salient Object Detection
The Secrets of Salient Object Segmentation
Saliency Tree: A Novel Saliency Detection Framework
RGBD Salient Object Detection via Deep Fusion
Boosting bottom-up and top-down visual features for saliency estimation
Salient Object Detection: A Survey
Saliency detection based on frequency and spatial domain analyses
in Calculating and Using Confidence Intervals for Model Validation
Feature Selection Based on Joint Mutual Information
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Fast and robust Earth Mover's Distances
Contrast-based image attention analysis by using fuzzy growing