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Quantitative analysis of saliency models

https://doi.org/10.1145/3005358.3005380
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00371-012-0746-4openalex-snapshot
Evaluation of 3D interest point detection techniques via human-generated ground truth
inferredcites →https://doi.org/10.1016/j.cag.2016.03.001openalex-snapshot
Shape context based mesh saliency detection and its applications: A survey
inferredcites →https://doi.org/10.1109/iccv.2013.446openalex-snapshot
Saliency Detection in Large Point Sets
inferredcites →https://doi.org/10.1109/iccv.2015.27openalex-snapshot
Cluster-Based Point Set Saliency
inferredcites →https://doi.org/10.1109/robot.2009.5152473openalex-snapshot
Fast Point Feature Histograms (FPFH) for 3D registration
inferredcites →https://doi.org/10.1109/smi.2008.4547975openalex-snapshot
SHape REtrieval contest 2008: Stability of watertight models
inferredcites →https://doi.org/10.1109/tip.2012.2210727openalex-snapshot
Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
inferredcites →https://doi.org/10.1111/1467-8659.00675openalex-snapshot
Multi‐scale Feature Extraction on Point‐Sampled Surfaces
inferredcites →https://doi.org/10.1111/j.1467-8659.2008.01162.xopenalex-snapshot
Sparse points matching by combining 3D mesh saliency with statistical descriptors
inferredcites →https://doi.org/10.1145/1073204.1073244openalex-snapshot
Mesh saliency
inferredcites →https://doi.org/10.1145/1122501.1122507openalex-snapshot
Salient geometric features for partial shape matching and similarity
inferredcites →https://doi.org/10.1145/2185520.2185525openalex-snapshot
Schelling points on 3D surface meshes
inferredcites →https://doi.org/10.1145/2530691openalex-snapshot
Mesh saliency via spectral processing
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods
inferredcites →https://doi.org/10.3758/s13428-012-0226-9openalex-snapshot
Methods for comparing scanpaths and saliency maps: strengths and weaknesses

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3992970openalex-extracted
Multi-View-Projection-Based Saliency Detection for Meshed 3d Models with Textures
inferred← citeshttps://doi.org/10.1007/s00371-017-1416-3openalex-snapshot
Point-wise saliency detection on 3D point clouds via covariance descriptors
inferred← citeshttps://doi.org/10.1007/s11042-019-08008-yopenalex-snapshot
Detecting salient objects in non-stationary video image sequence for analyzing user perceptions of digital video contents
inferred← citeshttps://doi.org/10.1007/s11042-021-11378-xopenalex-snapshot
Two-stage salient object identification and segmentation based on irregularity
inferred← citeshttps://doi.org/10.1016/j.cag.2016.04.003openalex-snapshot
How well do saliency-based features perform for shape retrieval?
inferred← citeshttps://doi.org/10.1016/j.cagd.2025.102454openalex-snapshot
3D shape analysis via multi-modal contrastive learning
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889857openalex-snapshot
3D Mesh Saliency Based on Dictionary Learning with Multi-Level Laplacian-Beltrami Operator
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560979openalex-snapshot
Saliency Features for 3D CAD-Data in the Context of Sampling-Based Motion Planning
inferred← citeshttps://doi.org/10.1109/tmm.2021.3070977openalex-snapshot
Detecting 3D Points of Interest Using Projective Neural Networks
inferred← citeshttps://doi.org/10.1109/tvcg.2018.2848628openalex-snapshot
Detecting 3D Points of Interest Using Multiple Features and Stacked Auto-encoder
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3368767openalex-snapshot
A Multi-Modal Attention-Based Approach for Points of Interest Detection on 3D Shapes
inferred← citeshttps://doi.org/10.1111/cgf.13353openalex-snapshot
Visual Attention for Rendered 3D Shapes
inferred← citeshttps://doi.org/10.15446/dyna.v86n209.75958openalex-snapshot
Point cloud saliency detection via local sparse coding
inferred← citeshttps://doi.org/10.31799/1684-8853-2019-3-10-36openalex-snapshot
Saliency detection in deep learning era: trends of development
inferred← citeshttps://doi.org/10.51415/10321/3204openalex-snapshot
Development of an effective Zapping delay framework for Internet Protocol Television over a converged network
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