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Combining Self Training and Active Learning for 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/10.1007/978-3-540-24673-2_3openalex-snapshot
High Accuracy Optical Flow Estimation Based on a Theory for Warping
inferredcites →https://doi.org/10.1007/978-3-540-88688-4_61openalex-snapshot
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
inferredcites →https://doi.org/10.1007/s11263-005-4635-4openalex-snapshot
A Statistical Approach to Texture Classification from Single Images
inferredcites →https://doi.org/10.1016/j.cviu.2008.07.002openalex-snapshot
Measuring uncertainty in graph cut solutions
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/cvpr.2006.272openalex-snapshot
Semi-Supervised Classification Using Linear Neighborhood Propagation
inferredcites →https://doi.org/10.1109/cvpr.2007.383177openalex-snapshot
Tracking as Repeated Figure/Ground Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2009.5206707openalex-snapshot
From contours to regions: An empirical evaluation
inferredcites →https://doi.org/10.1109/cvpr.2010.5539860openalex-snapshot
On-line semi-supervised multiple-instance boosting
inferredcites →https://doi.org/10.1109/cvpr.2010.5540054openalex-snapshot
Label propagation in video sequences
inferredcites →https://doi.org/10.1109/cvpr.2010.5540060openalex-snapshot
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
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.2010.5540120openalex-snapshot
Multimodal semi-supervised learning for image classification
inferredcites →https://doi.org/10.1109/iccv.2003.1238391openalex-snapshot
Automatically labeling video data using multi-class active learning
inferredcites →https://doi.org/10.1109/iccv.2007.4408844openalex-snapshot
Active Learning with Gaussian Processes for Object Categorization
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.2009.5459289openalex-snapshot
LabelMe video: Building a video database with human annotations
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/tpami.2005.205openalex-snapshot
Online selection of discriminative tracking features
inferredcites →https://doi.org/10.1109/tpami.2006.233openalex-snapshot
Random Walks for Image Segmentation
inferredcites →https://doi.org/10.1184/r1/6606860openalex-snapshot
Learning from Labeled and Unlabeled Data using Graph Mincuts
inferredcites →https://doi.org/10.5244/c.24.27openalex-snapshot
Label propagation in complex video sequences using semi-supervised learning
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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Semi-supervised Video Segmentation Using Decision Forests
inferred← citeshttps://doi.org/10.1007/978-3-030-58539-6_19openalex-snapshot
Semantic Curiosity for Active Visual Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-44917-8_21openalex-snapshot
Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-10593-2_43openalex-snapshot
Supervoxel-Consistent Foreground Propagation in Video
inferred← citeshttps://doi.org/10.1007/978-3-319-23024-5_22openalex-snapshot
Eye-Hand Coordination Analysis According to Surgical Process in Laparoscopic Surgery Training
inferred← citeshttps://doi.org/10.1007/978-3-319-46484-8_14openalex-snapshot
Online Adaptation for Joint Scene and Object Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-70742-6_12openalex-snapshot
Implicit Vs. Explicit Human Feedback for Interactive Video Object Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-642-30157-5_59openalex-snapshot
A New Hybrid Algorithm for Video Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-642-33715-4_36openalex-snapshot
Active Frame Selection for Label Propagation in Videos
inferred← citeshttps://doi.org/10.1007/978-3-642-36669-7_59openalex-snapshot
Interactive Segmentation with Recommendation of Most Informative Regions
inferred← citeshttps://doi.org/10.1007/978-3-642-37444-9_11openalex-snapshot
Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos
inferred← citeshttps://doi.org/10.1007/s11042-014-2145-5openalex-snapshot
Video object segmentation by integrating trajectories from points and regions
inferred← citeshttps://doi.org/10.1007/s11042-015-2897-6openalex-snapshot
Assessment of crowdsourcing and gamification loss in user-assisted object segmentation
inferred← citeshttps://doi.org/10.1007/s11263-013-0673-5openalex-snapshot
Mixture of Trees Probabilistic Graphical Model for Video Segmentation
inferred← citeshttps://doi.org/10.1007/s11263-019-01184-2openalex-snapshot
Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks
inferred← citeshttps://doi.org/10.1007/s41095-020-0177-5openalex-snapshot
A survey of recent interactive image segmentation methods
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.10.012openalex-snapshot
Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.02.127openalex-snapshot
Reducing human efforts in video segmentation annotation with reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.07.032openalex-snapshot
Video semantic object segmentation by self-adaptation of DCNN
inferred← citeshttps://doi.org/10.1016/j.robot.2021.103837openalex-snapshot
A survey on human-aware robot navigation
inferred← citeshttps://doi.org/10.1049/iet-cvi.2018.5717openalex-snapshot
Online video object segmentation via LRS representation
inferred← citeshttps://doi.org/10.1109/access.2019.2912760openalex-snapshot
Online Video Object Segmentation via Boundary-Constrained Low-Rank Sparse Representation
inferred← citeshttps://doi.org/10.1109/access.2020.3042464openalex-snapshot
Segmentation Improved Label Propagation for Semi-Supervised Anomaly Detection in Fused Magnesia Furnace Process
inferred← citeshttps://doi.org/10.1109/avss.2019.8909894openalex-snapshot
Graph-to-Graph Energy Minimization for Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/cbmi.2012.6269804openalex-snapshot
Sensarea: An authoring tool to create accurate clickable videos
inferred← citeshttps://doi.org/10.1109/cisp.2015.7407849openalex-snapshot
Video segmentation based on the Gaussian mixture updating model
inferred← citeshttps://doi.org/10.1109/cvpr.2012.6247747openalex-snapshot
Seeded watershed cut uncertainty estimators for guided interactive segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2014.55openalex-snapshot
SeamSeg: Video Object Segmentation Using Patch Seams
inferred← citeshttps://doi.org/10.1109/cvpr.2014.79openalex-snapshot
Hierarchical Subquery Evaluation for Active Learning on a Graph
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298952openalex-snapshot
Image segmentation in Twenty Questions
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298984openalex-snapshot
Active learning for structured probabilistic models with histogram approximation
inferred← citeshttps://doi.org/10.1109/cvpr.2016.400openalex-snapshot
Instance-Level Video Segmentation from Object Tracks
inferred← citeshttps://doi.org/10.1109/cvpr.2016.565openalex-snapshot
Active Learning for Delineation of Curvilinear Structures
inferred← citeshttps://doi.org/10.1109/cvpr.2017.228openalex-snapshot
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2017.790openalex-snapshot
Online Video Object Segmentation via Convolutional Trident Network
inferred← citeshttps://doi.org/10.1109/cvpr.2017.89openalex-snapshot
The Impact of Typicality for Informative Representative Selection
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01809openalex-snapshot
Hybrid Active Learning via Deep Clustering for Video Action Detection
inferred← citeshttps://doi.org/10.1109/cvprw.2017.128openalex-snapshot
Efficient Scene Layout Aware Object Detection for Traffic Surveillance
inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871846openalex-snapshot
A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification
inferred← citeshttps://doi.org/10.1109/fie.2016.7757734openalex-snapshot
Visualizing the lesson process in active learning classes
inferred← citeshttps://doi.org/10.1109/iccv.2011.6126269openalex-snapshot
Understanding egocentric activities
inferred← citeshttps://doi.org/10.1109/iccv.2013.230openalex-snapshot
Active Learning of an Action Detector from Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/iccv.2015.370openalex-snapshot
Video Segmentation with Just a Few Strokes
inferred← citeshttps://doi.org/10.1109/iccv.2015.498openalex-snapshot
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters
inferred← citeshttps://doi.org/10.1109/iccv.2015.516openalex-snapshot
Context Aware Active Learning of Activity Recognition Models
inferred← citeshttps://doi.org/10.1109/iccv.2017.40openalex-snapshot
PathTrack: Fast Trajectory Annotation with Path Supervision
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Video Object Segmentation by Salient Segment Chain Composition
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Glass object segmentation by label transfer on joint depth and appearance manifolds
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Figure/ground video segmentation via low-rank sparse learning
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Online learning for scene segmentation with laser-constrained CRFs
inferred← citeshttps://doi.org/10.1109/icvrv.2014.65openalex-snapshot
Discriminative Feature Learning for Video Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191348openalex-snapshot
Active Learning for Video Classification with Frame Level Queries
inferred← citeshttps://doi.org/10.1109/iscas.2015.7169273openalex-snapshot
Image guided label map propagation in video sequences
inferred← citeshttps://doi.org/10.1109/oceanskobe.2018.8559112openalex-snapshot
Segmentation of Underwater Object in Videos
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Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification
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Interactive Video Segmentation via Local Appearance Model
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Interactive Hierarchical Object Proposals
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SwipeCut: Interactive Segmentation via Seed Grouping
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An Effective Video Summarization Framework Toward Handheld Devices
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Adaptive Learning for Celebrity Identification With Video Context
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Semi-Supervised Video Segmentation Using Tree Structured Graphical Models
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Gamifying Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2018.2865794openalex-snapshot
Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos
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Context-Aware Query Selection for Active Learning in Event Recognition
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Generating reliable video annotations by exploiting the crowd
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Human-in-the-Loop Video Semantic Segmentation Auto-Annotation
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00201openalex-snapshot
Correlation-aware active learning for surgery video segmentation
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Interactive scanpath-oriented annotation of fixations
inferred← citeshttps://doi.org/10.1145/3128128.3128139openalex-snapshot
Automatic motion segmentation using random walks
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Modeling Student Persistence in a Learning-By-Teaching Environment
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Requirements and Concepts for Interactive Media Retrieval User Interfaces
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Automatic moving foreground extraction using random walks
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‘‘Where” Entity: Video Scene Recognition
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Crowdsourcing in Computer Vision
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Click Carving: Segmenting Objects in Video with Point Clicks
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Much Ado About Time: Exhaustive Annotation of Temporal Data
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A Study of Learning Effects on E-Learning with Interactive Thematic Video
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Medical Image Analysis with Semantic Segmentation and Active Learning
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Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation
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Hierarchical Subquery Evaluation for Active Learning on a Graph
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Active Learning for Delineation of Curvilinear Structures
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FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
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Active Learning for Structured Prediction from Partially Labeled Data
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CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
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SwipeCut: Interactive Segmentation with Diversified Seed Proposals
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FKM Based Approach for Hybrid Video Segmentation
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MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation
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