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Model Order Selection and Cue Combination for Image Segmentation

https://doi.org/10.1109/cvpr.2006.186

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What this work says

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

inferredcites →https://doi.org/10.1002/0471221325openalex-snapshot

Digital Image Processing

inferredcites →https://doi.org/10.1002/nav.3800020109openalex-snapshot

The Hungarian method for the assignment problem

inferredcites →https://doi.org/10.1006/cviu.1997.0546openalex-snapshot

Image Segmentation from Consensus Information

inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot

The Elements of Statistical Learning

inferredcites →https://doi.org/10.1007/bf00336961openalex-snapshot

The structure of images

inferredcites →https://doi.org/10.1016/0378-3758(89)90033-5openalex-snapshot

Algorithms for clustering data

inferredcites →https://doi.org/10.1016/s0042-6989(02)00193-1openalex-snapshot

Properties of second-order spatial frequency channels

inferredcites →https://doi.org/10.1016/s0167-8655(01)00070-8openalex-snapshot

Positive tensor factorization

inferredcites →https://doi.org/10.1016/s0169-7439(96)00044-5openalex-snapshot

Least squares formulation of robust non-negative factor analysis

inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot

Contour and Texture Analysis for Image Segmentation

inferredcites →https://doi.org/10.1038/44565openalex-snapshot

Learning the parts of objects by non-negative matrix factorization

inferredcites →https://doi.org/10.1080/00401706.1990.10484648openalex-snapshot

Algorithms for Clustering Data

inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot

Neural Networks for Pattern Recognition

inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot

Normalized cuts and image segmentation

inferredcites →https://doi.org/10.1109/iccv.1999.790354openalex-snapshot

Segmentation using eigenvectors: a unifying view

inferredcites →https://doi.org/10.1109/iccv.2001.937614openalex-snapshot

Image segmentation by data driven Markov chain Monte Carlo

inferredcites →https://doi.org/10.1109/iccv.2003.1238307openalex-snapshot

Regression based bandwidth selection for segmentation using Parzen windows

inferredcites →https://doi.org/10.1109/iccv.2005.107openalex-snapshot

Geometric context from a single image

inferredcites →https://doi.org/10.1109/tpami.2003.1240115openalex-snapshot

Bagging for path-based clustering

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

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

inferredcites →https://doi.org/10.1126/science.3175666openalex-snapshot

Parallel Integration of Vision Modules

inferredcites →https://doi.org/10.1145/1102351.1102451openalex-snapshot

Non-negative tensor factorization with applications to statistics and computer vision

inferredcites →https://doi.org/10.1162/089976604773717621openalex-snapshot

Stability-Based Validation of Clustering Solutions

inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

inferredcites →https://doi.org/10.2202/1544-6115.1036openalex-snapshot

Asymptotic Optimality of Likelihood-Based Cross-Validation

inferredcites →https://doi.org/10.2307/2286028openalex-snapshot

Pattern Classification and Scene Analysis.

inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot

Neural networks for pattern recognition

What points at this work

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

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Weakly Supervised Object Localization with Stable Segmentations

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Adaptive Parameter Selection for Image Segmentation Based on Similarity Estimation of Multiple Segmenters

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Recovering Surface Layout from an Image

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Robust Higher Order Potentials for Enforcing Label Consistency

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Object Recognition by Sequential Figure-Ground Ranking

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An empirical study on temporal modeling for online action detection

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Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images

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Multi-layer graph constraints for interactive image segmentation via game theory

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Saliency Driven Nonlinear Diffusion Filtering for Object Recognition

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Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration

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Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches

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Robust higher order potentials for enforcing label consistency

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Object recognition as ranking holistic figure-ground hypotheses

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Beyond active noun tagging: Modeling contextual interactions for multi-class active learning

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Constrained parametric min-cuts for automatic object segmentation

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Nonparametric higher-order learning for interactive segmentation

inferred← citeshttps://doi.org/10.1109/cvpr.2010.5540223openalex-snapshot

Multi-class object localization by combining local contextual interactions

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Variable grouping for energy minimization

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Submodular Object Recognition

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Objects in Context

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Extracting foreground masks towards object recognition

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Unsupervised discovery of object classes in 3D outdoor scenarios

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Combined Segmentation and Visual Attention for Object Categorization and Video Semantic Concepts Detection

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Hardware feasibility analysis for motion segmentation initialization

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Combining clusterings with different detail levels

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Fusion Methods for Speech Enhancement and Audio Source Separation

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Contextual Object Localization With Multiple Kernel Nearest Neighbor

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Image Segmentation Using Local Variation and Edge-Weighted Centroidal Voronoi Tessellations

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Probabilistic Motion Diffusion of Labeling Priors for Coherent Video Segmentation

inferred← citeshttps://doi.org/10.1109/tpami.2011.130openalex-snapshot

Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration

inferred← citeshttps://doi.org/10.1109/tpami.2011.231openalex-snapshot

CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts

inferred← citeshttps://doi.org/10.1109/tpami.2011.280openalex-snapshot

Ensemble Segmentation Using Efficient Integer Linear Programming

inferred← citeshttps://doi.org/10.15760/etd.199openalex-snapshot

The Link Between Image Segmentation and Image Recognition

inferred← citeshttps://doi.org/10.1609/aaai.v25i1.7978openalex-snapshot

DISCO: Describing Images Using Scene Contexts and Objects

inferred← citeshttps://doi.org/10.3233/ica-2007-14107openalex-snapshot

Visual perception in design and robotics

inferred← citeshttps://doi.org/10.48550/arxiv.2008.05659openalex-snapshot

What Should Not Be Contrastive in Contrastive Learning

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Robust segmentation and object classification in natural and medical images

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