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Bilateral Space Video Segmentation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11744085_44openalex-snapshot
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
inferredcites →https://doi.org/10.1007/978-3-319-14249-4_27openalex-snapshot
Interactive Segmentation of High-Resolution Video Content Using Temporally Coherent Superpixels and Graph Cut
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_21openalex-snapshot
Object Segmentation by Long Term Analysis of Point Trajectories
inferredcites →https://doi.org/10.1007/978-3-642-15558-1_37openalex-snapshot
Real-Time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid
inferredcites →https://doi.org/10.1007/978-3-642-33783-3_39openalex-snapshot
Video Matting Using Multi-frame Nonlocal Matting Laplacian
inferredcites →https://doi.org/10.1007/s11263-007-0110-8openalex-snapshot
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
inferredcites →https://doi.org/10.1109/cvpr.2010.5539893openalex-snapshot
Efficient hierarchical graph-based video segmentation
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.2013.87openalex-snapshot
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
inferredcites →https://doi.org/10.1109/cvpr.2014.55openalex-snapshot
SeamSeg: Video Object Segmentation Using Patch Seams
inferredcites →https://doi.org/10.1109/cvpr.2015.7298697openalex-snapshot
Classifier based graph construction for video segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298961openalex-snapshot
Saliency-aware geodesic video object segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299055openalex-snapshot
Causal video object segmentation from persistence of occlusions
inferredcites →https://doi.org/10.1109/cvpr.2015.7299076openalex-snapshot
Fast bilateral-space stereo for synthetic defocus
inferredcites →https://doi.org/10.1109/cvpr.2016.85openalex-snapshot
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
inferredcites →https://doi.org/10.1109/iccv.1999.791245openalex-snapshot
Fast approximate energy minimization via graph cuts
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.2009.5459293openalex-snapshot
LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues
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.2013.234openalex-snapshot
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees
inferredcites →https://doi.org/10.1109/iccv.2013.273openalex-snapshot
Video Segmentation by Tracking Many Figure-Ground Segments
inferredcites →https://doi.org/10.1109/iccv.2015.369openalex-snapshot
Fully Connected Object Proposals for Video Segmentation
inferredcites →https://doi.org/10.1109/tpami.2007.1128openalex-snapshot
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields
inferredcites →https://doi.org/10.1109/wacv.2014.6836023openalex-snapshot
Interactive video segmentation using occlusion boundaries and temporally coherent superpixels
inferredcites →https://doi.org/10.1145/1015706.1015764openalex-snapshot
Keyframe-based tracking for rotoscoping and animation
inferredcites →https://doi.org/10.1145/1186562.1015764openalex-snapshot
Keyframe-based tracking for rotoscoping and animation
inferredcites →https://doi.org/10.1145/1275808.1276506openalex-snapshot
Real-time edge-aware image processing with the bilateral grid
inferredcites →https://doi.org/10.1145/1477926.1477927openalex-snapshot
Generalizing motion edits with Gaussian processes
inferredcites →https://doi.org/10.1145/1531326.1531327openalex-snapshot
Gaussian KD-trees for fast high-dimensional filtering
inferredcites →https://doi.org/10.1145/2185520.2185530openalex-snapshot
Practical temporal consistency for image-based graphics applications
inferredcites →https://doi.org/10.1145/2366145.2366194openalex-snapshot
Discontinuity-aware video object cutout
inferredcites →https://doi.org/10.1145/566570.566572openalex-snapshot
Video matting of complex scenes
inferredcites →https://doi.org/10.5244/c.24.56openalex-snapshot
Motion Coherent Tracking with Multi-label MRF optimization
inferredcites →https://doi.org/10.5244/c.28.21openalex-snapshot
Video Object Segmentation by Non-Local Consensus voting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Dynamic Multiple Objects Segmentation with Spatio-Temporal Filtering
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Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks
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Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
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YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
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VideoMatch: Matching Based Video Object Segmentation
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Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation
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Video Object Segmentation by Learning Location-Sensitive Embeddings
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Tracking Emerges by Colorizing Videos
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Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation
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Unseen Object Segmentation in Videos via Transferable Representations
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Video Object Segmentation with Language Referring Expressions
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Robust Video Background Identification by Dominant Rigid Motion Estimation
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One-Shot Video Object Segmentation Initialized with Referring Expression
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Kernelized Memory Network for Video Object Segmentation
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Towards Interactive Video Segmentation by Dynamic and Iterative Spanning Forest
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Flow-Free Video Object Segmentation
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Co-segmentation for space-time co-located collections
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Deep reinforcement learning in computer vision: a comprehensive survey
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Efficient frame-sequential label propagation for video object segmentation
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Effective online refinement for video object segmentation
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PerSeg : segmenting salient objects from bag of single image perturbations
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Data augmentation of random grid-hiding for video object segmentation
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Semi-supervised one-shot learning for video object segmentation in dynamic environments
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Unsupervised Video Object Segmentation Based on Mixture Models and Saliency Detection
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Lucid Data Dreaming for Video Object Segmentation
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VOSTR: Video Object Segmentation via Transferable Representations
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Semantic segmentation of high-resolution images
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Dual-Branch Enhanced Network for Change Detection
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Object removal from complex videos using a few annotations
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Strong target constrained video saliency detection
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Self-propagating video segmentation using patch matching and enhanced Onecut
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Egocentric video cosummarization
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Video object segmentation based on motion-aware ROI prediction and adaptive reference updating
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Multiresolution co-clustering for uncalibrated multiview segmentation
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Foreground extraction via dual-side cameras on a mobile device using long short-term trajectory analysis
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Video object segmentation via random walks on two-frame graphs comprising superpixels
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Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images
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Refined video segmentation through global appearance regression
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Higher-order potentials for video object segmentation in bilateral space
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Weakly supervised video object segmentation initialized with referring expression
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SiamPolar: Semi-supervised realtime video object segmentation with polar representation
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Motion cues guided feature aggregation and enhancement for video object segmentation
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Quality-aware pattern diffusion for video object segmentation
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Visual tracking using spatio-temporally nonlocally regularized correlation filter
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Adaptive ROI generation for video object segmentation using reinforcement learning
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Dynamic dense CRF inference for video segmentation and semantic SLAM
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Egocentric video co-summarization using transfer learning and refined random walk on a constrained graph
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Attention‐based video object segmentation algorithm
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Online Semantic Object Segmentation for Vision Robot Collected Video
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Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation
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A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation
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Video Object Segmentation by Latent Outcome Regression
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Semi-Supervised Video Object Segmentation Based on Local and Global Consistency Learning
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Video Object Segmentation via Cellular Automata Refinement
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PointRend Segmentation for a Densely Occluded Moving Object in a Video
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A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
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FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
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Learning Video Object Segmentation from Static Images
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One-Shot Video Object Segmentation
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Video Segmentation via Multiple Granularity Analysis
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Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
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ROAM: A Rich Object Appearance Model with Application to Rotoscoping
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Online Video Object Segmentation via Convolutional Trident Network
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MoNet: Deep Motion Exploitation for Video Object Segmentation
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Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
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Motion-Guided Cascaded Refinement Network for Video Object Segmentation
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CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF
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Efficient Video Object Segmentation via Network Modulation
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Instance Embedding Transfer to Unsupervised Video Object Segmentation
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Fast Video Object Segmentation by Reference-Guided Mask Propagation
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Fast and Accurate Online Video Object Segmentation via Tracking Parts
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Reinforcement Cutting-Agent Learning for Video Object Segmentation
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Fast Online Object Tracking and Segmentation: A Unifying Approach
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Spatiotemporal CNN for Video Object Segmentation
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BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
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LSM: Learning Subspace Minimization for Low-Level Vision
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A Transductive Approach for Video Object Segmentation
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Learning Video Object Segmentation From Unlabeled Videos
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Video Instance Segmentation Tracking With a Modified VAE Architecture
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Boosting Video Object Segmentation via Space-Time Correspondence Learning
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Blind Video Deflickering by Neural Filtering with a Flawed Atlas
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Motion History and Shape Orientation Based Human Action Analysis
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Unsupervised Online Video Object Segmentation
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Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow
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Super-Trajectory for Video Segmentation
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Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks
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CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos
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SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
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RANet: Ranking Attention Network for Fast Video Object Segmentation
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Fast Video Object Segmentation via Dynamic Targeting Network
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VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
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Reference-guided Controllable Inpainting of Neural Radiance Fields
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Efficient Video Object Segmentation based on Local-Global Consistency Learning
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Visual Attention Guided Video Object Segmentation
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Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation
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Video Object Co-Segmentation from Noisy Videos by a Multi-Level Hypergraph Model
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Fusion Target Attention Mask Generation Network For Video Segmentation
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Crvos: Clue Refining Network For Video Object Segmentation
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Video segmentation based on patch matching and enhanced Onecut
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Video segmentation based on strong target constrained video saliency
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Object Segmentation in Video Sequences by using Single Frame Processing
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Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
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Object Segmentation Tracking from Generic Video Cues
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Semi-supervised Video Object Segmentation with Recurrent Neural Network
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Self-supervised Object Tracking with Cycle-consistent Siamese Networks
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Meta-Learning Deep Visual Words for Fast Video Object Segmentation
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Optical Flow-Guided Mask Generation Network for Video Segmentation
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The Neural Network Simulation of Instance-Aware Semantic Image Segmentation System
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Convolutional gated recurrent networks for video semantic segmentation in automated driving
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SiamPolar: Realtime Video Object Segmentation with Polar Representation in Traffic Scenes
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One-Shot Video Object Segmentation Using Attention Transfer
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PEPPR-DWS on FPGA: Elevating Universal Parallelism and Precision Through Pulse-Enhanced Push-Relabel and Diffusion Wave Search
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Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos
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Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid
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Human-Centric Clothing Segmentation via Deformable Semantic Locality-Preserving Network
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Real Time Video Object Segmentation in Compressed Domain
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Guided Co-Segmentation Network for Fast Video Object Segmentation
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Separable Structure Modeling for Semi-Supervised Video Object Segmentation
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Stereo Video Object Segmentation Using Stereoscopic Foreground Trajectories
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Weakly Supervised Video Object Segmentation
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Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object Proposals
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Selective Video Object Cutout
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Exploring Weakly Labeled Images for Video Object Segmentation With Submodular Proposal Selection
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Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks
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Unsupervised Online Video Object Segmentation With Motion Property Understanding
inferred← citeshttps://doi.org/10.1109/tip.2021.3113166openalex-snapshot
Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tip.2023.3280389openalex-snapshot
Efficient and Robust Video Object Segmentation Through Isogenous Memory Sampling and Frame Relation Mining
inferred← citeshttps://doi.org/10.1109/tip.2025.3649360openalex-snapshot
Video Decoupling Networks for Accurate, Efficient, Generalizable, and Robust Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tits.2019.2900426openalex-snapshot
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2017.2751965openalex-snapshot
Object Detection and Tracking Under Occlusion for Object-Level RGB-D Video Segmentation
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/tmm.2020.2995266openalex-snapshot
Object Cosegmentation in Noisy Videos With Multilevel Hypergraph
inferred← citeshttps://doi.org/10.1109/tmm.2020.3020698openalex-snapshot
Learning to Segment Video Object With Accurate Boundaries
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2963282openalex-snapshot
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3043099openalex-snapshot
Self-Teaching Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2018.2819173openalex-snapshot
Semi-Supervised Video Object Segmentation with Super-Trajectories
inferred← citeshttps://doi.org/10.1109/tpami.2018.2838670openalex-snapshot
Video Object Segmentation without Temporal Information
inferred← citeshttps://doi.org/10.1109/tpami.2018.2865794openalex-snapshot
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
inferred← citeshttps://doi.org/10.1109/tpami.2018.2890659openalex-snapshot
Online Meta Adaptation for Fast Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2019.2904963openalex-snapshot
ROAM: A Rich Object Appearance Model with Application to Rotoscoping
inferred← citeshttps://doi.org/10.1109/tpami.2019.2906175openalex-snapshot
Motion-Guided Cascaded Refinement Network for Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2020.3008917openalex-snapshot
Space-Time Memory Networks for Video Object Segmentation With User Guidance
inferred← citeshttps://doi.org/10.1109/tpami.2022.3142071openalex-snapshot
Deep Video Prior for Video Consistency and Propagation
inferred← citeshttps://doi.org/10.1109/tpami.2022.3163375openalex-snapshot
Video Object Segmentation Using Kernelized Memory Network With Multiple Kernels
inferred← citeshttps://doi.org/10.1109/tpami.2022.3225573openalex-snapshot
A Survey on Deep Learning Technique for Video Segmentation
inferred← citeshttps://doi.org/10.1109/tvcg.2020.2992670openalex-snapshot
Video Folding: Increased Framerate for Semi-Repetitive Sequences
inferred← citeshttps://doi.org/10.1109/vcip.2017.8305089openalex-snapshot
Two-stream deep encoder-decoder architecture for fully automatic video object segmentation
inferred← citeshttps://doi.org/10.1109/wacv.2019.00188openalex-snapshot
Tukey-Inspired Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093333openalex-snapshot
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/wacv48630.2021.00172openalex-snapshot
Mask Selection and Propagation for Unsupervised Video Object Segmentation
inferred← citeshttps://doi.org/10.1117/1.jei.30.3.033018openalex-snapshot
Fast and robust interactive image segmentation in bilateral space with reliable color modeling and higher order potential
inferred← citeshttps://doi.org/10.1145/3072959.3073612openalex-snapshot
Time slice video synthesis by robust video alignment
inferred← citeshttps://doi.org/10.1145/3271553.3271581openalex-snapshot
Enhancing Boundary for Video Object Segmentation
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
Video Object Segmentation and Tracking
inferred← citeshttps://doi.org/10.1360/ssi-2024-0187openalex-snapshot
Efficient video object segmentation based on frame-wise and segment-wise spatio-temporal interaction memory networks
inferred← citeshttps://doi.org/10.23919/jsee.2022.000049openalex-snapshot
A camouflage target detection method based on local minimum difference constraints
inferred← citeshttps://doi.org/10.3390/app10061948openalex-snapshot
Deep Pixel-Level Matching via Attention for Video Co-Segmentation
inferred← citeshttps://doi.org/10.3390/app10093005openalex-snapshot
Virtual Grounding Point Concept for Detecting Abnormal and Normal Events in Home Care Monitoring Systems
inferred← citeshttps://doi.org/10.3390/app12157781openalex-snapshot
Complementary Segmentation of Primary Video Objects with Reversible Flows
inferred← citeshttps://doi.org/10.3390/jimaging6060049openalex-snapshot
Image Processing Technique and Hidden Markov Model for an Elderly Care Monitoring System
inferred← citeshttps://doi.org/10.3390/s18051657openalex-snapshot
Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation
inferred← citeshttps://doi.org/10.3390/s24072094openalex-snapshot
Dynamic Multiple Object Segmentation with Spatio-Temporal Filtering
inferred← citeshttps://doi.org/10.3390/sym11081006openalex-snapshot
Symmetry Encoder-Decoder Network with Attention Mechanism for Fast Video Object Segmentation
inferred← citeshttps://doi.org/10.3837/tiis.2019.03.018openalex-snapshot
Video Object Segmentation with Weakly Temporal Information
inferred← citeshttps://doi.org/10.3837/tiis.2021.09.007openalex-snapshot
Higher-Order Conditional Random Field established with CNNs for Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1612.02646openalex-snapshot
Learning Video Object Segmentation from Static Images
inferred← citeshttps://doi.org/10.48550/arxiv.1612.07217openalex-snapshot
Learning Motion Patterns in Videos
inferred← citeshttps://doi.org/10.48550/arxiv.1612.08169openalex-snapshot
Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1701.05384openalex-snapshot
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
inferred← citeshttps://doi.org/10.48550/arxiv.1703.09554openalex-snapshot
Lucid Data Dreaming for Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1704.01926openalex-snapshot
Semantically-Guided Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1704.05165openalex-snapshot
Video Object Segmentation using Supervoxel-Based Gerrymandering
inferred← citeshttps://doi.org/10.48550/arxiv.1704.08812openalex-snapshot
Automatic Real-time Background Cut for Portrait Videos
inferred← citeshttps://doi.org/10.48550/arxiv.1709.04609openalex-snapshot
Learning to Segment Instances in Videos with Spatial Propagation Network
inferred← citeshttps://doi.org/10.48550/arxiv.1803.11187openalex-snapshot
MaskRNN: Instance Level Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1809.00461openalex-snapshot
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1811.09521openalex-snapshot
Complementary Segmentation of Primary Video Objects with Reversible Flows
inferred← citeshttps://doi.org/10.48550/arxiv.1903.12161openalex-snapshot
Fast video object segmentation with Spatio-Temporal GANs
inferred← citeshttps://doi.org/10.48550/arxiv.1904.03280openalex-snapshot
Prediction-Tracking-Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1904.09172openalex-snapshot
Video Object Segmentation and Tracking: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.1907.01203openalex-snapshot
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1908.10717openalex-snapshot
Fast Video Object Segmentation via Mask Transfer Network
inferred← citeshttps://doi.org/10.48550/arxiv.2002.03651openalex-snapshot
CRVOS: Clue Refining Network for Video Object Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.2105.10201openalex-snapshot
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation
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