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Ensemble Segmentation Using Efficient Integer Linear Programming

https://doi.org/10.1109/tpami.2011.280

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What this work says

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

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Yet Another Survey on Image Segmentation: Region and Boundary Information Integration

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Object Recognition by Integrating Multiple Image Segmentations

inferredcites →https://doi.org/10.1007/978-3-642-12307-8_13openalex-snapshot

Natural Image Segmentation with Adaptive Texture and Boundary Encoding

inferredcites →https://doi.org/10.1007/s10994-009-5158-yopenalex-snapshot

Ensemble clustering using semidefinite programming with applications

inferredcites →https://doi.org/10.1016/j.cviu.2007.07.005openalex-snapshot

Unsupervised segmentation of natural images via lossy data compression

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Correlation Clustering

inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot

Objective Criteria for the Evaluation of Clustering Methods

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Clustering Gene Expression Patterns

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Mean shift: a robust approach toward feature space analysis

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Normalized cuts and image segmentation

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Watersheds in digital spaces: an efficient algorithm based on immersion simulations

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Spectral Segmentation with Multiscale Graph Decomposition

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Model Order Selection and Cue Combination for Image Segmentation

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Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

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Using contours to detect and localize junctions in natural images

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From contours to regions: An empirical evaluation

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Utility data annotation with Amazon Mechanical Turk

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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

inferredcites →https://doi.org/10.1109/icpr.2002.1047421openalex-snapshot

Synergism in low level vision

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A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation

inferredcites →https://doi.org/10.1109/tmi.2004.828354openalex-snapshot

Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation

inferredcites →https://doi.org/10.1109/tpami.2004.1273918openalex-snapshot

Learning to detect natural image boundaries using local brightness, color, and texture cues

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Toward Objective Evaluation of Image Segmentation Algorithms

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Rigid Shape Matching by Segmentation Averaging

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Maximum Likelihood from Incomplete Data Via the EM Algorithm

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Comparing clusterings

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Supervised learning from multiple experts

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Efficiently learning the accuracy of labeling sources for selective sampling

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Algorithm 447: efficient algorithms for graph manipulation

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Improving machine learning approaches to coreference resolution

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Bounding and comparing methods for correlation clustering beyond ILP

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Improving Spatial Support for Objects via Multiple Segmentations

What points at this work

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

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A survey on ensemble learning

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A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis

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Higher-order segmentation via multicuts

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EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation

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BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision

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Image segmentation fusion using weakly supervised trace‐norm multi‐task learning method

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DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

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Combinatorial Persistency Criteria for Multicut and Max-Cut

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RAMA: A Rapid Multicut Algorithm on GPU

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Aggregated segmentation of fish from conveyor belt videos

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Machine learning framework incorporating expert knowledge in tissue image annotation

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A Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem

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Deep Graph Reinforcement Learning for Solving Multicut Problem

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A Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple Segmentations

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Robust Region Detection via Consensus Segmentation of Deformable Shapes

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Ensemble Clustering by Noise-Aware Graph Decomposition

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A Precision-Recall Criterion Based Consensus Model For Fusing Multiple Segmentations

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Permutation-Invariant Consensus over Crowdsourced Labels

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Interactive Multicut Video Segmentation

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Correlation Clustering and Two-edge-connected Augmentation for Planar Graphs

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Human-Centered Unsupervised Segmentation Fusion

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Graph algorithms : network inference and planar graph optimization

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