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Co-saliency Detection with Graph Matching
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_30openalex-snapshot
Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_32openalex-snapshot
Branching Path Following for Graph Matching
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_36openalex-snapshot
Reweighted Random Walks for Graph Matching
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_3openalex-snapshot
Geodesic Saliency Using Background Priors
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_59openalex-snapshot
On the Convergence of Graph Matching: Graduated Assignment Revisited
inferredcites →https://doi.org/10.1016/j.patrec.2014.04.015openalex-snapshot
Fast computation of Bipartite graph matching
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2007.382973openalex-snapshot
Image Matching via Saliency Region Correspondences
inferredcites →https://doi.org/10.1109/cvpr.2010.5540080openalex-snapshot
iCoseg: Interactive co-segmentation with intelligent scribble guidance
inferredcites →https://doi.org/10.1109/cvpr.2011.5995344openalex-snapshot
Global contrast based salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2012.6247711openalex-snapshot
Exploiting local and global patch rarities for saliency detection
inferredcites →https://doi.org/10.1109/cvpr.2012.6247743openalex-snapshot
Saliency filters: Contrast based filtering for salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2013.153openalex-snapshot
Hierarchical Saliency Detection
inferredcites →https://doi.org/10.1109/cvpr.2013.271openalex-snapshot
Salient Object Detection: A Discriminative Regional Feature Integration Approach
inferredcites →https://doi.org/10.1109/cvpr.2013.407openalex-snapshot
Saliency Detection via Graph-Based Manifold Ranking
inferredcites →https://doi.org/10.1109/cvpr.2014.360openalex-snapshot
Saliency Optimization from Robust Background Detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298918openalex-snapshot
Co-saliency detection via looking deep and wide
inferredcites →https://doi.org/10.1109/icassp.2013.6638027openalex-snapshot
Image co-saliency detection by propagating superpixel affinities
inferredcites →https://doi.org/10.1109/icassp.2017.7952486openalex-snapshot
Image co-saliency detection via locally adaptive saliency map fusion
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2013.193openalex-snapshot
Efficient Salient Region Detection with Soft Image Abstraction
inferredcites →https://doi.org/10.1109/iccv.2013.370openalex-snapshot
Saliency Detection via Dense and Sparse Reconstruction
inferredcites →https://doi.org/10.1109/iccv.2013.413openalex-snapshot
Contextual Hypergraph Modeling for Salient Object Detection
inferredcites →https://doi.org/10.1109/iccv.2015.75openalex-snapshot
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
inferredcites →https://doi.org/10.1109/iccv.2017.436openalex-snapshot
Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector
inferredcites →https://doi.org/10.1109/icip.2010.5650014openalex-snapshot
Preattentive co-saliency detection
inferredcites →https://doi.org/10.1109/icme.2015.7177414openalex-snapshot
Saliency and co-saliency detection by low-rank multiscale fusion
inferredcites →https://doi.org/10.1109/icpr.2014.400openalex-snapshot
Implicit Rank-Sparsity Decomposition: Applications to Saliency/Co-saliency Detection
inferredcites →https://doi.org/10.1109/ispacs.2012.6473597openalex-snapshot
A new co-saliency model via pairwise constraint graph matching
inferredcites →https://doi.org/10.1109/lsp.2013.2292873openalex-snapshot
Co-Saliency Detection Based on Hierarchical Segmentation
inferredcites →https://doi.org/10.1109/lsp.2014.2364896openalex-snapshot
Efficient Saliency-Model-Guided Visual Co-Saliency Detection
inferredcites →https://doi.org/10.1109/lsp.2015.2458434openalex-snapshot
Co-Saliency Detection via Co-Salient Object Discovery and Recovery
inferredcites →https://doi.org/10.1109/tcsvt.2017.2706264openalex-snapshot
A Unified Metric Learning-Based Framework for Co-Saliency Detection
inferredcites →https://doi.org/10.1109/tip.2011.2156803openalex-snapshot
A Co-Saliency Model of Image Pairs
inferredcites →https://doi.org/10.1109/tip.2013.2260166openalex-snapshot
Cluster-Based Co-Saliency Detection
inferredcites →https://doi.org/10.1109/tip.2014.2307434openalex-snapshot
Saliency Tree: A Novel Saliency Detection Framework
inferredcites →https://doi.org/10.1109/tip.2014.2332399openalex-snapshot
Self-adaptively Weighted Co-saliency Detection via Rank Constraint
inferredcites →https://doi.org/10.1109/tip.2018.2861217openalex-snapshot
Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization
inferredcites →https://doi.org/10.1109/tmm.2013.2271476openalex-snapshot
Co-Salient Object Detection From Multiple Images
inferredcites →https://doi.org/10.1109/tmm.2016.2568138openalex-snapshot
Sketch-Based Image Retrieval by Salient Contour Reinforcement
inferredcites →https://doi.org/10.1109/tmm.2016.2576283openalex-snapshot
Image Co-segmentation via Saliency Co-fusion
inferredcites →https://doi.org/10.1109/tnnls.2015.2495161openalex-snapshot
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining
inferredcites →https://doi.org/10.1109/tpami.2014.2345401openalex-snapshot
Global Contrast Based Salient Region Detection
inferredcites →https://doi.org/10.1109/tpami.2016.2562626openalex-snapshot
Salient Object Detection via Structured Matrix Decomposition
inferredcites →https://doi.org/10.1109/tpami.2016.2636150openalex-snapshot
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/tpami.2017.2716350openalex-snapshot
Gracker: A Graph-Based Planar Object Tracker
inferredcites →https://doi.org/10.1109/tpami.2017.2767591openalex-snapshot
Graph Matching with Adaptive and Branching Path Following
inferredcites →https://doi.org/10.1137/0105003openalex-snapshot
Algorithms for the Assignment and Transportation Problems
inferredcites →https://doi.org/10.1145/2508037.2508039openalex-snapshot
A survey of appearance models in visual object tracking
inferredcites →https://doi.org/10.1145/2533989openalex-snapshot
A Unified Geolocation Framework for Web Videos
inferredcites →https://doi.org/10.1145/2856058openalex-snapshot
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation
inferredcites →https://doi.org/10.1145/3158674openalex-snapshot
A Review of Co-Saliency Detection Algorithms
inferredcites →https://doi.org/10.1145/3240508.3240648openalex-snapshot
A Feature-Adaptive Semi-Supervised Framework for Co-saliency Detection
inferredcites →https://doi.org/10.24963/ijcai.2017/424openalex-snapshot
Group-wise Deep Co-saliency Detection
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0073openalex-snapshot
Graph-Based Visual Saliency
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.image.2022.116655openalex-snapshot
Co-saliency-regularized correlation filter for object tracking
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103329openalex-snapshot
Multi-frame co-saliency spatio-temporal regularization correlation filters for object tracking
inferred← citeshttps://doi.org/10.1049/cit2.12020openalex-snapshot
Consistent image processing based on co‐saliency
inferred← citeshttps://doi.org/10.1080/01431161.2023.2229494openalex-snapshot
Bidirectional mutual guidance transformer for salient object detection in optical remote sensing images
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00907openalex-snapshot
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/tcsvt.2022.3150923openalex-snapshot
Re-Thinking the Relations in Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3285249openalex-snapshot
Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection
inferred← citeshttps://doi.org/10.1145/3386090openalex-snapshot
Superpixel Region Merging Based on Deep Network for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1145/3391709openalex-snapshot
End-to-End Text-to-Image Synthesis with Spatial Constrains
inferred← citeshttps://doi.org/10.1145/3448733openalex-snapshot
GTAE: Graph Transformer–Based Auto-Encoders for Linguistic-Constrained Text Style Transfer
inferred← citeshttps://doi.org/10.1155/2022/1849995openalex-snapshot
An Image Saliency Detection Method Based on Combining Global and Local Information
inferred← citeshttps://doi.org/10.4018/978-1-6684-6903-3.ch008openalex-snapshot
Study and Analysis of Visual Saliency Applications Using Graph Neural Networks
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