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Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_42openalex-snapshot
Category Independent Object Proposals
inferredcites →https://doi.org/10.1007/978-3-642-37331-2_55openalex-snapshot
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation
inferredcites →https://doi.org/10.1007/bf01589116openalex-snapshot
On the limited memory BFGS method for large scale optimization
inferredcites →https://doi.org/10.1007/s11263-007-0109-1openalex-snapshot
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
inferredcites →https://doi.org/10.1007/s11263-011-0507-2openalex-snapshot
Object Recognition by Sequential Figure-Ground Ranking
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot
Solving the multiple instance problem with axis-parallel rectangles
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1109/34.1000236openalex-snapshot
Mean shift: a robust approach toward feature space analysis
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/34.969114openalex-snapshot
Fast approximate energy minimization via graph cuts
inferredcites →https://doi.org/10.1109/cvpr.2010.5539868openalex-snapshot
Discriminative clustering for image co-segmentation
inferredcites →https://doi.org/10.1109/cvpr.2012.6247725openalex-snapshot
Learning image-specific parameters for interactive segmentation
inferredcites →https://doi.org/10.1109/cvpr.2012.6247733openalex-snapshot
Adaptive figure-ground classification
inferredcites →https://doi.org/10.1109/cvpr.2013.270openalex-snapshot
Weakly-Supervised Dual Clustering for Image Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2009.5459175openalex-snapshot
Class segmentation and object localization with superpixel neighborhoods
inferredcites →https://doi.org/10.1109/iccv.2009.5459262openalex-snapshot
Image segmentation with a bounding box prior
inferredcites →https://doi.org/10.1109/iccv.2013.271openalex-snapshot
Semantic Segmentation without Annotating Segments
inferredcites →https://doi.org/10.1109/tpami.2007.1046openalex-snapshot
Toward Objective Evaluation of Image Segmentation Algorithms
inferredcites →https://doi.org/10.1109/tpami.2007.1124openalex-snapshot
Hidden Conditional Random Fields
inferredcites →https://doi.org/10.1109/tpami.2011.231openalex-snapshot
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
inferredcites →https://doi.org/10.1109/tpami.2012.194openalex-snapshot
Hough Forest Random Field for Object Recognition and Segmentation
inferredcites →https://doi.org/10.1109/tpami.2013.165openalex-snapshot
Associative Hierarchical Random Fields
inferredcites →https://doi.org/10.1145/1553374.1553534openalex-snapshot
Multi-instance learning by treating instances as non-I.I.D. samples
inferredcites →https://doi.org/10.7551/mitpress/7432.003.0006openalex-snapshot
An Introduction to Conditional Random Fields for Relational Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images
inferred← citeshttps://doi.org/10.1007/978-3-319-54407-6_33openalex-snapshot
STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street Scenes
inferred← citeshttps://doi.org/10.1109/access.2021.3098840openalex-snapshot
End-to-End Key-Player-Based Group Activity Recognition Network Applied to Basketball Offensive Tactic Identification in Limited Data Scenarios
inferred← citeshttps://doi.org/10.1109/icaccs51430.2021.9441839openalex-snapshot
Query- Focused Content Retrieval from Surveillance videos: Techniques and Challenges
inferred← citeshttps://doi.org/10.1109/icassp.2018.8462533openalex-snapshot
Unsupervised Image Segmentation by Backpropagation
inferred← citeshttps://doi.org/10.1109/iccv.2015.160openalex-snapshot
Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts
inferred← citeshttps://doi.org/10.1109/iccv.2015.524openalex-snapshot
Semantic Video Entity Linking Based on Visual Content and Metadata
inferred← citeshttps://doi.org/10.1109/icip.2017.8296407openalex-snapshot
Recognizing offensive tactics in broadcast basketball videos via key player detection
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9413239openalex-snapshot
Video semantic segmentation using deep multi-view representation learning
inferred← citeshttps://doi.org/10.1109/tcyb.2016.2631528openalex-snapshot
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tip.2019.2917224openalex-snapshot
Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator
inferred← citeshttps://doi.org/10.1109/tip.2020.3011269openalex-snapshot
Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
inferred← citeshttps://doi.org/10.1109/tpami.2016.2552172openalex-snapshot
Learning from Weak and Noisy Labels for Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/wacv.2016.7477639openalex-snapshot
Simultaneous semantic segmentation of a set of partially labeled images
inferred← citeshttps://doi.org/10.1145/3089250openalex-snapshot
Recognizing Human Actions with Outlier Frames by Observation Filtering and Completion
inferred← citeshttps://doi.org/10.25165/j.ijabe.20171005.3136openalex-snapshot
Individual pig object detection algorithm based on Gaussian mixture model
inferred← citeshttps://doi.org/10.3390/electronics9030383openalex-snapshot
SEEK: A Framework of Superpixel Learning with CNN Features for Unsupervised Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1608.05971openalex-snapshot
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
inferred← citeshttps://doi.org/10.48550/arxiv.1806.06172openalex-snapshot
Semantic Video Segmentation: A Review on Recent Approaches
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