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Learning to Combine Bottom-Up and Top-Down Segmentation
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11957959_28openalex-snapshot
Image Parsing: Unifying Segmentation, Detection, and Recognition
inferredcites →https://doi.org/10.1007/3-540-47967-8_8openalex-snapshot
Class-Specific, Top-Down Segmentation
inferredcites →https://doi.org/10.1007/978-1-4615-4413-5openalex-snapshot
Perceptual Organization for Artificial Vision Systems
inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot
Contour and Texture Analysis for Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2001.990512openalex-snapshot
Segmentation and boundary detection using multiscale intensity measurements
inferredcites →https://doi.org/10.1109/cvpr.2003.1211450openalex-snapshot
Object-specific figure-ground segregation
inferredcites →https://doi.org/10.1109/cvpr.2004.1315232openalex-snapshot
Multiscale conditional random fields for image labeling
inferredcites →https://doi.org/10.1109/cvpr.2004.314openalex-snapshot
Combining Top-Down and Bottom-Up Segmentation
inferredcites →https://doi.org/10.1109/iccv.1995openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2003.1238362openalex-snapshot
Graph partition by Swendsen-Wang cuts
inferredcites →https://doi.org/10.1109/iccv.2003.1238478openalex-snapshot
Discriminative random fields: a discriminative framework for contextual interaction in classification
inferredcites →https://doi.org/10.1109/iccv.2005.148openalex-snapshot
LOCUS: learning object classes with unsupervised segmentation
inferredcites →https://doi.org/10.1109/tit.2005.850085openalex-snapshot
Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
inferredcites →https://doi.org/10.1145/1015330.1015337openalex-snapshot
Kernel conditional random fields
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1627openalex-snapshot
Minimax Entropy Principle and Its Application to Texture Modeling
inferredcites →https://doi.org/10.48550/arxiv.1212.2504openalex-snapshot
Efficiently Inducing Features of Conditional Random Fields
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust $P^N$ Potentials
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Location Constrained Pixel Classifiers for Image Parsing with Regular Spatial Layout
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Digital Signature: A Novel Adaptative Image Segmentation Approach
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Robust perceptual organization techniques for analysis of color images
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Robust segmentation and object classification in natural and medical images
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Graphical models for object segmentation
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