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A Co-Saliency Model of Image Pairs

https://doi.org/10.1109/tip.2011.2156803
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-88693-8_11openalex-snapshot
Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration
inferredcites →https://doi.org/10.1007/978-3-642-15552-9_34openalex-snapshot
Cosegmentation Revisited: Models and Optimization
inferredcites →https://doi.org/10.1016/0010-0285(80)90005-5openalex-snapshot
A feature-integration theory of attention
inferredcites →https://doi.org/10.1016/j.jvcir.2008.04.001openalex-snapshot
Saliency model-based face segmentation and tracking in head-and-shoulder video sequences
inferredcites →https://doi.org/10.1017/s0140525x97001611openalex-snapshot
Deictic codes for the embodiment of cognition
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1037/h0052629openalex-snapshot
Principles of Gestalt Psychology.
inferredcites →https://doi.org/10.1038/4511openalex-snapshot
Predicting the visual world: silence is golden
inferredcites →https://doi.org/10.1109/34.730558openalex-snapshot
A model of saliency-based visual attention for rapid scene analysis
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.2000.855810openalex-snapshot
Color tracking by transductive learning
inferredcites →https://doi.org/10.1109/cvpr.2004.1315182openalex-snapshot
Recovering human body con .gurations:combining segmentation and recognition
inferredcites →https://doi.org/10.1109/cvpr.2006.91openalex-snapshot
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
inferredcites →https://doi.org/10.1109/cvpr.2007.382973openalex-snapshot
Image Matching via Saliency Region Correspondences
inferredcites →https://doi.org/10.1109/cvpr.2007.383267openalex-snapshot
Saliency Detection: A Spectral Residual Approach
inferredcites →https://doi.org/10.1109/cvpr.2009.5206573openalex-snapshot
Saliency-based discriminant tracking
inferredcites →https://doi.org/10.1109/cvpr.2009.5206596openalex-snapshot
Frequency-tuned salient region detection
inferredcites →https://doi.org/10.1109/cvpr.2009.5206652openalex-snapshot
Half-integrality based algorithms for cosegmentation of images
inferredcites →https://doi.org/10.1109/cvpr.2010.5539868openalex-snapshot
Discriminative clustering for image co-segmentation
inferredcites →https://doi.org/10.1109/cvpr.2010.5539927openalex-snapshot
Measuring visual saliency by Site Entropy Rate
inferredcites →https://doi.org/10.1109/cvpr.2010.5539929openalex-snapshot
Context-aware saliency detection
inferredcites →https://doi.org/10.1109/cvpr.2010.5539984openalex-snapshot
Calibration-free gaze sensing using saliency maps
inferredcites →https://doi.org/10.1109/cvpr.2011.5995344openalex-snapshot
Global contrast based salient region detection
inferredcites →https://doi.org/10.1109/iccv.2001.937505openalex-snapshot
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
inferredcites →https://doi.org/10.1109/iccv.2003.1238308openalex-snapshot
Learning a classification model for segmentation
inferredcites →https://doi.org/10.1109/iccv.2005.58openalex-snapshot
Common pattern discovery using earth mover's distance and local flow maximization
inferredcites →https://doi.org/10.1109/iccv.2007.4408869openalex-snapshot
Spatial Random Partition for Common Visual Pattern Discovery
inferredcites →https://doi.org/10.1109/iccv.2009.5459261openalex-snapshot
An efficient algorithm for Co-segmentation
inferredcites →https://doi.org/10.1109/icip.2009.5414482openalex-snapshot
Seed Image Selection in interactive cosegmentation
inferredcites →https://doi.org/10.1109/ispacs.2010.5704754openalex-snapshot
Extract salient objects from natural images
inferredcites →https://doi.org/10.1109/mcom.2007.284535openalex-snapshot
Automatic video segmentation and tracking for content-based applications
inferredcites →https://doi.org/10.1109/tcsvt.2005.859028openalex-snapshot
Unsupervised extraction of visual attention objects in color images
inferredcites →https://doi.org/10.1109/tcsvt.2007.890857openalex-snapshot
A Multiple Visual Models Based Perceptive Analysis Framework for Multilevel Video Summarization
inferredcites →https://doi.org/10.1109/tcsvt.2007.903326openalex-snapshot
Unsupervized Video Segmentation With Low Depth of Field
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tmm.2006.884633openalex-snapshot
Dynamic Bit Allocation for Multiple Video Object Coding
inferredcites →https://doi.org/10.1109/tmm.2008.2008922openalex-snapshot
FaceSeg: Automatic Face Segmentation for Real-Time Video
inferredcites →https://doi.org/10.1109/tpami.2006.249openalex-snapshot
On the Distribution of Saliency
inferredcites →https://doi.org/10.1109/tpami.2006.3openalex-snapshot
Boosting color saliency in image feature detection
inferredcites →https://doi.org/10.1109/tpami.2011.272openalex-snapshot
Context-Aware Saliency Detection
inferredcites →https://doi.org/10.1111/j.0956-7976.2005.01528.xopenalex-snapshot
Do New Objects Capture Attention?
inferredcites →https://doi.org/10.1137/1.9781611972801.50openalex-snapshot
Fast Single-Pair SimRank Computation
inferredcites →https://doi.org/10.1145/775047.775126openalex-snapshot
SimRank
inferredcites →https://doi.org/10.1162/089976600300015826openalex-snapshot
Learning Overcomplete Representations
inferredcites →https://doi.org/10.3758/bf03200774openalex-snapshot
Guided Search 2.0 A revised model of visual search
inferredcites →https://doi.org/10.4324/9781315009292openalex-snapshot
Principles Of Gestalt Psychology

What points at this work

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

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A Review on Co-Saliency Detection Methods for Complex Background Images
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Co-saliency Detection for RGBD Images Based on Multi-constraint Superpixels Matching and Co-cellular Automata
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Reversible Data Hiding Based on Prediction-Error-Ordering
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A Lossless Data Hiding Strategy Based on Two-Dimensional Side-Match Predictions
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Image Co-segmentation Using Maximum Common Subgraph Matching and Region Co-growing
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CATS: Co-saliency Activated Tracklet Selection for Video Co-localization
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Improved Separable Reversible Data Hiding in Encrypted Image Based on Neighborhood Prediction
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Second Order Perdicting-Error Sorting for Reversible Data Hiding
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Adaptive Histogram Shifting Based Reversible Data Hiding
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Improved Reversible Visible Watermarking Based on Adaptive Block Partition
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Co-saliency Detection via Sparse Reconstruction and Co-salient Object Discovery
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High-Fidelity Reversible Data Hiding Algorithm Based on SVD
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Co-saliency Detection via Weighted Low-Rank Matrix Fusion
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Salient Object Detection: A Benchmark
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Co-saliency Detection Based on Siamese Network
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Reversible Watermarking Based on Adaptive Prediction Error Expansion
inferred← citeshttps://doi.org/10.1007/978-981-13-8942-9_53openalex-snapshot
Video Segmentation Based on SURF Flow Field
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Depth incorporating with color improves salient object detection
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$$\hbox {C}^{2}$$Net: a complementary co-saliency detection network
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Reverse collaborative fusion model for co-saliency detection
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Reversible data hiding scheme based on the Haar discrete wavelet transform and interleaving prediction method
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Reversible data hiding for 3D mesh models with three-dimensional prediction-error histogram modification
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Sparse recovery based reversible data hiding method using the human visual system
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Reversible data hiding in encrypted images with high capacity by bitplane operations and adaptive embedding
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Reversible watermarking based on multi-dimensional prediction-error expansion
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Meta-metric for saliency detection evaluation metrics based on application preference
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Local complexity based adaptive embedding mechanism for reversible data hiding in digital images
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Histogram based multilevel reversible data hiding scheme using simple and absolute difference images
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Reversible data hiding for 3D mesh models with hybrid prediction and multilayer strategy
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Secure binary image steganography based on LTP distortion minimization
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A brief survey of visual saliency detection
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High-capacity PVO-based reversible data hiding scheme using changeable step size
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Sorting methods and adaptive thresholding for histogram based reversible data hiding
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Improved center-folding based directional pixel value ordering for reversible data hiding scheme
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A counter-embedding IPVO based reversible data hiding technique
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Adaptive multilevel technique based on histogram shifting for reversible data hiding
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Reversible Image Steganography Using Dual-Layer LSB Matching
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High-capacity reversible data hiding method using block expansion in digital images
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Improved reversible data hiding based on PVO and adaptive pairwise embedding
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Adaptive error prediction method based on multiple linear regression for reversible data hiding
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Saliency Subtraction Inspired Automated Event Detection in Underwater Environments
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Superpixel based color contrast and color distribution driven salient object detection
inferred← citeshttps://doi.org/10.1016/j.image.2016.03.005openalex-snapshot
Co-saliency detection via inter and intra saliency propagation
inferred← citeshttps://doi.org/10.1016/j.image.2017.04.006openalex-snapshot
Improving object proposals with top-down cues
inferred← citeshttps://doi.org/10.1016/j.image.2017.12.003openalex-snapshot
Saliency refinement: Towards a uniformly highlighted salient object
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105414openalex-snapshot
Co-salient object detection with consensus mining and consistency cross-layer interactive decoding
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105586openalex-snapshot
Consensus exploration and detail perception for co-salient object detection in optical remote sensing images
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103595openalex-snapshot
Co-AMamba: Co-salient object detection with attention and state space model
inferred← citeshttps://doi.org/10.1016/j.jvcir.2013.02.007openalex-snapshot
Saliency detection using joint spatial-color constraint and multi-scale segmentation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2013.06.016openalex-snapshot
Mode dependent loop filter for intra prediction coding in H.264/AVC
inferred← citeshttps://doi.org/10.1016/j.jvcir.2014.05.002openalex-snapshot
Bird breed classification and annotation using saliency based graphical model
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.01.003openalex-snapshot
Object recognition via contextual color attention
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.03.011openalex-snapshot
An effective vector model for global-contrast-based saliency detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.08.009openalex-snapshot
No reference image quality assessment metric via multi-domain structural information and piecewise regression
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.01.011openalex-snapshot
Store classification using Text-Exemplar-Similarity and Hypotheses-Weighted-CNN
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.05.014openalex-snapshot
Co-segmentation via visualization
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/10.1016/j.knosys.2024.112852openalex-snapshot
MGCNet: Multiple group-wise correlation network with hierarchical contrastive learning for co-salient object detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.09.097openalex-snapshot
Automatic tag saliency ranking for stereo images
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.10.002openalex-snapshot
Unsupervised image co-segmentation via guidance of simple images
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.10.052openalex-snapshot
Stereoscopic saliency model using contrast and depth-guided-background prior
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.05.009openalex-snapshot
An easy-to-hard learning strategy for within-image co-saliency detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.09.011openalex-snapshot
Exemplar-based image saliency and co-saliency detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.05.106openalex-snapshot
A joint framework for mining discriminative and frequent visual representation
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.09.029openalex-snapshot
Globally consistent correspondence of multiple feature sets using proximal Gauss–Seidel relaxation
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107789openalex-snapshot
Label group diffusion for image and image pair segmentation
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.04.020openalex-snapshot
WaveLBP based hierarchical features for image classification
inferred← citeshttps://doi.org/10.1016/j.vrih.2024.06.002openalex-snapshot
Co-salient object detection with iterative purification and predictive optimization
inferred← citeshttps://doi.org/10.1049/iet-ipr.2014.0987openalex-snapshot
Moving visual focus in salient object segmentation
inferred← citeshttps://doi.org/10.1109/access.2017.2776344openalex-snapshot
Deep Saliency Quality Assessment Network With Joint Metric
inferred← citeshttps://doi.org/10.1109/access.2019.2917152openalex-snapshot
A Survey of Object Co-Segmentation
inferred← citeshttps://doi.org/10.1109/access.2022.3197752openalex-snapshot
CoU2Net and CoLDF: Two Novel Methods Built on Basis of Double-Branch Co-Salient Object Detection Framework
inferred← citeshttps://doi.org/10.1109/acpr.2017.91openalex-snapshot
Hierarchical Co-salient Object Detection via Color Names
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671666openalex-snapshot
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/cgiv.2017.11openalex-snapshot
Robust Video Co-Segmentation Based on Co-Saliency of Superpixels
inferred← citeshttps://doi.org/10.1109/cis-ram47153.2019.9095781openalex-snapshot
A Saliency-Fusion-Based Framework For Co-localization
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298918openalex-snapshot
Co-saliency detection via looking deep and wide
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00657openalex-snapshot
Modifying Non-local Variations Across Multiple Views
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00321openalex-snapshot
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00299openalex-snapshot
Taking a Deeper Look at Co-Salient Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01211openalex-snapshot
Group Collaborative Learning for Co-Salient Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01349openalex-snapshot
DeepACG: Co-Saliency Detection via Semantic-aware Contrast Gromov-Wasserstein Distance
inferred← citeshttps://doi.org/10.1109/cvprw.2012.6239258openalex-snapshot
Spatio-temporal enhanced sparse feature selection for video saliency estimation
inferred← citeshttps://doi.org/10.1109/icassp.2013.6638027openalex-snapshot
Image co-saliency detection by propagating superpixel affinities
inferred← citeshttps://doi.org/10.1109/icassp.2017.7952486openalex-snapshot
Image co-saliency detection via locally adaptive saliency map fusion
inferred← citeshttps://doi.org/10.1109/iccc68654.2025.11438034openalex-snapshot
A Saliency Detection Method via Frequency Space
inferred← citeshttps://doi.org/10.1109/icccas.2013.6765346openalex-snapshot
Topic model based bird breed classification and annotation
inferred← citeshttps://doi.org/10.1109/icccnt.2018.8493912openalex-snapshot
Co-saliency Detection via Weakly Supervised Learning
inferred← citeshttps://doi.org/10.1109/iccea65460.2025.11103351openalex-snapshot
Co-Saliency Detection Based on Hierarchical Interactive Attention and Feedback Enhancement
inferred← citeshttps://doi.org/10.1109/iccv.2013.278openalex-snapshot
Video Co-segmentation for Meaningful Action Extraction
inferred← citeshttps://doi.org/10.1109/iccv.2015.75openalex-snapshot
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00413openalex-snapshot
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/iccvw.2013.53openalex-snapshot
Thematic Saliency Detection Using Spatial-Temporal Context
inferred← citeshttps://doi.org/10.1109/icip.2013.6738836openalex-snapshot
Complexity awareness based feature adaptive co-segmentation
inferred← citeshttps://doi.org/10.1109/icip.2014.7025895openalex-snapshot
Unsupervised co-segmentation based on a new global GMM constraint in MRF
inferred← citeshttps://doi.org/10.1109/icip.2015.7351120openalex-snapshot
Co-saliency detection via similarity-based saliency propagation
inferred← citeshttps://doi.org/10.1109/icip.2017.8296640openalex-snapshot
Co-saliency detection via seed propagation over the integrated graph with a cluster layer
inferred← citeshttps://doi.org/10.1109/icist.2017.7926761openalex-snapshot
Co-saliency detection via partially absorbing random walk
inferred← citeshttps://doi.org/10.1109/icme.2013.6607523openalex-snapshot
Saliency map fusion based on rank-one constraint
inferred← citeshttps://doi.org/10.1109/icme.2014.6890148openalex-snapshot
Using mid-high level cues to detect salient object
inferred← citeshttps://doi.org/10.1109/icme.2014.6890183openalex-snapshot
Co-saliency detection based on region-level fusion and pixel-level refinement
inferred← citeshttps://doi.org/10.1109/icme.2014.6890318openalex-snapshot
L0 co-intrinsic images decomposition
inferred← citeshttps://doi.org/10.1109/icme.2014.6890320openalex-snapshot
Bag of squares: A reliable model of measuring superpixel similarity
inferred← citeshttps://doi.org/10.1109/icme.2015.7177414openalex-snapshot
Saliency and co-saliency detection by low-rank multiscale fusion
inferred← citeshttps://doi.org/10.1109/icme.2017.8019413openalex-snapshot
Segmentation guided local proposal fusion for co-saliency detection
inferred← citeshttps://doi.org/10.1109/icme.2018.8486603openalex-snapshot
Co-Saliency Detection via Hierarchical Consistency Measure
inferred← citeshttps://doi.org/10.1109/icme.2019.00065openalex-snapshot
Multiple Graph Convolutional Networks for Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/icmew.2017.8026241openalex-snapshot
Deep saliency quality assessment network
inferred← citeshttps://doi.org/10.1109/icpr.2014.400openalex-snapshot
Implicit Rank-Sparsity Decomposition: Applications to Saliency/Co-saliency Detection
inferred← citeshttps://doi.org/10.1109/infoseee.2014.6947781openalex-snapshot
Matching based image co-segmentation
inferred← citeshttps://doi.org/10.1109/iscas.2013.6572004openalex-snapshot
Saliency detection using a central stimuli sensitivity based model
inferred← citeshttps://doi.org/10.1109/iscas.2014.6865137openalex-snapshot
Favorite object extraction using web images
inferred← citeshttps://doi.org/10.1109/iscas.2014.6865138openalex-snapshot
Cosegmentation from similar backgrounds
inferred← citeshttps://doi.org/10.1109/iscas.2014.6865189openalex-snapshot
No reference image quality metric via distortion identification and multi-channel label transfer
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00226openalex-snapshot
Image Cosegmentation via Cosaliency Guided and Spline Regression
inferred← citeshttps://doi.org/10.1109/ispacs.2012.6473597openalex-snapshot
A new co-saliency model via pairwise constraint graph matching
inferred← citeshttps://doi.org/10.1109/lsp.2013.2292873openalex-snapshot
Co-Saliency Detection Based on Hierarchical Segmentation
inferred← citeshttps://doi.org/10.1109/lsp.2014.2347333openalex-snapshot
Detecting Co-Salient Objects in Large Image Sets
inferred← citeshttps://doi.org/10.1109/lsp.2014.2364896openalex-snapshot
Efficient Saliency-Model-Guided Visual Co-Saliency Detection
inferred← citeshttps://doi.org/10.1109/lsp.2015.2458434openalex-snapshot
Co-Saliency Detection via Co-Salient Object Discovery and Recovery
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