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Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Graph Implementations for Nonsmooth Convex Programs
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Object Segmentation by Long Term Analysis of Point Trajectories
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_42openalex-snapshot
Category Independent Object Proposals
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Geodesic Saliency Using Background Priors
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Motion Coherent Tracking Using Multi-label MRF Optimization
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Optimal Image and Video Closure by Superpixel Grouping
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The anatomy of a large-scale hypertextual Web search engine
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Efficient hierarchical graph-based video segmentation
inferredcites →https://doi.org/10.1109/cvpr.2010.5540063openalex-snapshot
Constrained parametric min-cuts for automatic object segmentation
inferredcites →https://doi.org/10.1109/cvpr.2012.6247728openalex-snapshot
Higher order motion models and spectral clustering
inferredcites →https://doi.org/10.1109/cvpr.2012.6247735openalex-snapshot
Maximum weight cliques with mutex constraints for video object segmentation
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Saliency Detection via Graph-Based Manifold Ranking
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Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
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Saliency-aware geodesic video object segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299008openalex-snapshot
Multiple random walkers and their application to image cosegmentation
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Causal video object segmentation from persistence of occlusions
inferredcites →https://doi.org/10.1109/cvpr.2015.7299114openalex-snapshot
Superpixel-based video object segmentation using perceptual organization and location prior
inferredcites →https://doi.org/10.1109/iccv.1998.710861openalex-snapshot
Motion segmentation and tracking using normalized cuts
inferredcites →https://doi.org/10.1109/iccv.2009.5459242openalex-snapshot
Video object segmentation by tracking regions
inferredcites →https://doi.org/10.1109/iccv.2009.5459276openalex-snapshot
Adaptive fragments-based tracking of non-rigid objects using level sets
inferredcites →https://doi.org/10.1109/iccv.2009.5459293openalex-snapshot
LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues
inferredcites →https://doi.org/10.1109/iccv.2011.6126418openalex-snapshot
Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions
inferredcites →https://doi.org/10.1109/iccv.2011.6126471openalex-snapshot
Key-segments for video object segmentation
inferredcites →https://doi.org/10.1109/iccv.2013.223openalex-snapshot
Fast Object Segmentation in Unconstrained Video
inferredcites →https://doi.org/10.1109/iccv.2013.273openalex-snapshot
Video Segmentation by Tracking Many Figure-Ground Segments
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Video Object Segmentation by Salient Segment Chain Composition
inferredcites →https://doi.org/10.1109/tip.2010.2101613openalex-snapshot
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
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Random Walks for Image Segmentation
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Density-Based Multifeature Background Subtraction with Support Vector Machine
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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
inferredcites →https://doi.org/10.5244/c.24.56openalex-snapshot
Motion Coherent Tracking with Multi-label MRF optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation
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Video Object Segmentation Using Convex Optimization of Foreground and Background Distributions
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Interactive Video Object Segmentation Using Global and Local Transfer Modules
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Cyber Human Interaction
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Superpixels for image and video processing based on proximity-weighted patch matching
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inferred← citeshttps://doi.org/10.1109/lsp.2020.3044130openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcsvt.2018.2870832openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2920652openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2018.2846361openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tgrs.2024.3439885openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2017.2736418openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2018.2806995openalex-snapshot
Exploring Weakly Labeled Images for Video Object Segmentation With Submodular Proposal Selection
inferred← citeshttps://doi.org/10.1109/tip.2018.2849860openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2018.2859622openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tip.2019.2910377openalex-snapshot
Video Saliency Detection via Sparsity-Based Reconstruction and Propagation
inferred← citeshttps://doi.org/10.1109/tip.2019.2930152openalex-snapshot
Unsupervised Online Video Object Segmentation With Motion Property Understanding
inferred← citeshttps://doi.org/10.1109/tmm.2018.2890361openalex-snapshot
Multilevel Model for Video Object Segmentation Based on Supervision Optimization
inferred← citeshttps://doi.org/10.1109/tpami.2017.2662005openalex-snapshot
Saliency-Aware Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2017.2727049openalex-snapshot
Semantic Object Segmentation in Tagged Videos via Detection
inferred← citeshttps://doi.org/10.1109/tpami.2020.2966453openalex-snapshot
Paying Attention to Video Object Pattern Understanding
inferred← citeshttps://doi.org/10.1109/tpami.2020.3040258openalex-snapshot
Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093294openalex-snapshot
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
inferred← citeshttps://doi.org/10.1117/12.2303460openalex-snapshot
An unsupervised video foreground co-localization and segmentation process by incorporating motion cues and frame features
inferred← citeshttps://doi.org/10.1145/3321507openalex-snapshot
Appearance-consistent Video Object Segmentation Based on a Multinomial Event Model
inferred← citeshttps://doi.org/10.1145/3391743openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3394171.3413942openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12052674openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app12157781openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics11182899openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijmdem.2018100102openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1811.09521openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1904.09172openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2110.05649openalex-snapshot
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