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CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11744023_1openalex-snapshot
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
inferredcites →https://doi.org/10.1007/11957959openalex-snapshot
Toward Category-Level Object Recognition
inferredcites →https://doi.org/10.1007/11957959_1openalex-snapshot
Object Recognition in the Geometric Era: A Retrospective
inferredcites →https://doi.org/10.1007/978-3-540-72845-0_20openalex-snapshot
Experimental Evaluation of Parametric Max-Flow Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_2openalex-snapshot
Image Segmentation by Branch-and-Mincut
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_3openalex-snapshot
What Is a Good Image Segment? A Unified Approach to Segment Extraction
inferredcites →https://doi.org/10.1007/978-3-642-15552-9_35openalex-snapshot
Optimal Contour Closure by Superpixel Grouping
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_42openalex-snapshot
Category Independent Object Proposals
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_31openalex-snapshot
What, Where and How Many? Combining Object Detectors and CRFs
inferredcites →https://doi.org/10.1007/978-3-642-15986-2_27openalex-snapshot
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
inferredcites →https://doi.org/10.1007/s11263-006-6995-9openalex-snapshot
Parsing Images into Regions, Curves, and Curve Groups
inferredcites →https://doi.org/10.1007/s11263-006-7934-5openalex-snapshot
Graph Cuts and Efficient N-D Image Segmentation
inferredcites →https://doi.org/10.1007/s11263-007-0095-3openalex-snapshot
Robust Object Detection with Interleaved Categorization and Segmentation
inferredcites →https://doi.org/10.1007/s11263-008-0166-0openalex-snapshot
Learning to Combine Bottom-Up and Top-Down Segmentation
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-011-0507-2openalex-snapshot
Object Recognition by Sequential Figure-Ground Ranking
inferredcites →https://doi.org/10.1016/s0734-189x(85)90153-7openalex-snapshot
Image segmentation techniques
inferredcites →https://doi.org/10.1023/b:visi.0000022288.19776.77openalex-snapshot
Efficient Graph-Based Image Segmentation
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1037/11496-005openalex-snapshot
Laws of organization in perceptual forms.
inferredcites →https://doi.org/10.1038/nature04977openalex-snapshot
Hierarchy and adaptivity in segmenting visual scenes
inferredcites →https://doi.org/10.1097/00006324-200005000-00008openalex-snapshot
Vision Science: Photons to Phenomenology
inferredcites →https://doi.org/10.1109/34.1000236openalex-snapshot
Mean shift: a robust approach toward feature space analysis
inferredcites →https://doi.org/10.1109/34.244673openalex-snapshot
An optimal graph theoretic approach to data clustering: theory and its application to image segmentation
inferredcites →https://doi.org/10.1109/34.809110openalex-snapshot
Embedding Gestalt laws in Markov random fields
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/72.788646openalex-snapshot
Support vector machines for histogram-based image classification
inferredcites →https://doi.org/10.1109/cvpr.1997.609366openalex-snapshot
Learning generic prior models for visual computation
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2003.1211452openalex-snapshot
Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches
inferredcites →https://doi.org/10.1109/cvpr.2004.1315268openalex-snapshot
Learning to segment images using region-based perceptual features
inferredcites →https://doi.org/10.1109/cvpr.2004.314openalex-snapshot
Combining Top-Down and Bottom-Up Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2006.186openalex-snapshot
Model Order Selection and Cue Combination for Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2006.298openalex-snapshot
Supervised Learning of Edges and Object Boundaries
inferredcites →https://doi.org/10.1109/cvpr.2006.326openalex-snapshot
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
inferredcites →https://doi.org/10.1109/cvpr.2007.383017openalex-snapshot
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
inferredcites →https://doi.org/10.1109/cvpr.2007.383047openalex-snapshot
Learning to Detect A Salient Object
inferredcites →https://doi.org/10.1109/cvpr.2008.4587420openalex-snapshot
Using contours to detect and localize junctions in natural images
inferredcites →https://doi.org/10.1109/cvpr.2008.4587440openalex-snapshot
Graph cut based image segmentation with connectivity priors
inferredcites →https://doi.org/10.1109/cvpr.2008.4587446openalex-snapshot
Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
inferredcites →https://doi.org/10.1109/cvpr.2008.4587477openalex-snapshot
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
inferredcites →https://doi.org/10.1109/cvpr.2009.5206707openalex-snapshot
From contours to regions: An empirical evaluation
inferredcites →https://doi.org/10.1109/cvpr.2010.5539839openalex-snapshot
Object recognition as ranking holistic figure-ground hypotheses
inferredcites →https://doi.org/10.1109/cvpr.2010.5540048openalex-snapshot
Harmony potentials for joint classification and segmentation
inferredcites →https://doi.org/10.1109/cvpr.2010.5540063openalex-snapshot
Constrained parametric min-cuts for automatic object segmentation
inferredcites →https://doi.org/10.1109/cvpr.2010.5540070openalex-snapshot
Layered object detection for multi-class segmentation
inferredcites →https://doi.org/10.1109/iccv.1995.466909openalex-snapshot
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/iccv.2003.1238308openalex-snapshot
Learning a classification model for segmentation
inferredcites →https://doi.org/10.1109/iccv.2005.107openalex-snapshot
Geometric context from a single image
inferredcites →https://doi.org/10.1109/iccv.2007.4408910openalex-snapshot
Applications of parametric maxflow in computer vision
inferredcites →https://doi.org/10.1109/iccv.2007.4408972openalex-snapshot
Globally Optimal Image Segmentation with an Elastic Shape Prior
inferredcites →https://doi.org/10.1109/iccv.2009.5459183openalex-snapshot
Multiple kernels for object detection
inferredcites →https://doi.org/10.1109/iccv.2009.5459209openalex-snapshot
Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation
inferredcites →https://doi.org/10.1109/iccv.2011.6126486openalex-snapshot
Image segmentation by figure-ground composition into maximal cliques
inferredcites →https://doi.org/10.1109/tpami.2003.1201819openalex-snapshot
Image segmentation with ratio cut
inferredcites →https://doi.org/10.1109/tpami.2004.1262177openalex-snapshot
What energy functions can be minimized via graph cuts?
inferredcites →https://doi.org/10.1109/tpami.2007.1046openalex-snapshot
Toward Objective Evaluation of Image Segmentation Algorithms
inferredcites →https://doi.org/10.1109/tpami.2009.16openalex-snapshot
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/tpami.2010.161openalex-snapshot
Contour Detection and Hierarchical Image Segmentation
inferredcites →https://doi.org/10.1137/0218003openalex-snapshot
A Fast Parametric Maximum Flow Algorithm and Applications
inferredcites →https://doi.org/10.1145/1282280.1282340openalex-snapshot
Representing shape with a spatial pyramid kernel
inferredcites →https://doi.org/10.1145/290941.291025openalex-snapshot
The use of MMR, diversity-based reranking for reordering documents and producing summaries
inferredcites →https://doi.org/10.1145/3130348.3130369openalex-snapshot
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
inferredcites →https://doi.org/10.1287/opre.1080.0524openalex-snapshot
The Pseudoflow Algorithm: A New Algorithm for the Maximum-Flow Problem
inferredcites →https://doi.org/10.35940/ijitee.k1353.0981119openalex-snapshot
Region-Based Segmentation and Object Detection
inferredcites →https://doi.org/10.48550/arxiv.1009.4823openalex-snapshot
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques
inferredcites →https://doi.org/10.5244/c.21.55openalex-snapshot
Improving Spatial Support for Objects via Multiple Segmentations
inferredcites →https://doi.org/10.5244/c.22.16openalex-snapshot
Parameter Selection for Graph Cut Based Image Segmentation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-030-04831-0_6openalex-snapshot
Unconstrained Salient Object Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-13469-3_15openalex-snapshot
Hierarchical Graph-Based Segmentation in Detection of Object-Related Regions
inferred← citeshttps://doi.org/10.1007/978-3-030-17795-9_25openalex-snapshot
Automatic Object Segmentation Based on GrabCut
inferred← citeshttps://doi.org/10.1007/978-3-030-20876-9_24openalex-snapshot
Universal Bounding Box Regression and Its Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-37841-7_1openalex-snapshot
Object Recognition of the Robotic System with Using a Parallel Convolutional Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-030-42128-1_5openalex-snapshot
Unsupervised Learning of Object Segmentation in Video with Highly Probable Positive Features
inferred← citeshttps://doi.org/10.1007/978-3-031-20077-9_13openalex-snapshot
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution
inferred← citeshttps://doi.org/10.1007/978-3-319-10578-9_35openalex-snapshot
A Fast and Simple Algorithm for Producing Candidate Regions
inferred← citeshttps://doi.org/10.1007/978-3-319-10578-9_7openalex-snapshot
RGBD Salient Object Detection: A Benchmark and Algorithms
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Geometry Driven Semantic Labeling of Indoor Scenes
inferred← citeshttps://doi.org/10.1007/978-3-319-10599-4_23openalex-snapshot
Attributes Make Sense on Segmented Objects
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Towards Unified Object Detection and Semantic Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferred← citeshttps://doi.org/10.1007/978-3-319-10602-1_47openalex-snapshot
Geodesic Object Proposals
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Accurate Detection in Volumetric Images Using Elastic Registration Based Validation
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Which Image Pairs Will Cosegment Well? Predicting Partners for Cosegmentation
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PSPGC: Part-Based Seeds for Parametric Graph-Cuts
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Multi-cue Mid-level Grouping
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A High Performance CRF Model for Clothes Parsing
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A Novel Improved Binarized Normed Gradients Based Objectness Measure Through the Multi-feature Learning
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Joint 3D Object and Layout Inference from a Single RGB-D Image
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Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds
inferred← citeshttps://doi.org/10.1007/978-3-319-25754-9_44openalex-snapshot
Fast Human Detection Using Deformable Part Model at the Selected Candidate Detection Positions
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Object Proposal Refinement Based on Contour Support for Augmented Reality
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Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling
inferred← citeshttps://doi.org/10.1007/978-3-319-46448-0_7openalex-snapshot
Segmentation from Natural Language Expressions
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Kernelized Subspace Ranking for Saliency Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-46487-9_32openalex-snapshot
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
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Weakly-Supervised Semantic Segmentation Using Motion Cues
inferred← citeshttps://doi.org/10.1007/978-3-319-46493-0_42openalex-snapshot
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-48881-3_45openalex-snapshot
Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes
inferred← citeshttps://doi.org/10.1007/978-3-319-52718-5_3openalex-snapshot
Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposals
inferred← citeshttps://doi.org/10.1007/978-3-319-54181-5_13openalex-snapshot
Object Boundary Guided Semantic Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-319-54181-5_15openalex-snapshot
Point-Cut: Interactive Image Segmentation Using Point Supervision
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Learning to Generate Object Segment Proposals with Multi-modal Cues
inferred← citeshttps://doi.org/10.1007/978-3-319-54184-6_5openalex-snapshot
Parametric Image Segmentation of Humans with Structural Shape Priors
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Inscribing Convex Polygons in Star-Shaped Objects
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StairsNet: Mixed Multi-scale Network for Object Detection
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A Hybrid Approach for Object Proposal Generation
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On Road Vehicle Detection Using an Improved Faster RCNN Framework with Small-Size Region Up-Scaling Strategy
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Classification of Segmented Objects through a Multi-net Approach
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Automatic Segmentation of Unknown Objects, with Application to Baggage Security
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Extracting 3D Scene-Consistent Object Proposals and Depth from Stereo Images
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Bottom-Up Perceptual Organization of Images into Object Part Hypotheses
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Semantic Segmentation with Second-Order Pooling
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Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects
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Multimodal Mixed Conditional Random Field Model for Category-Independent Object Detection
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Discriminative Detection and Alignment in Volumetric Data
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Quantum vs Classical Ranking in Segment Grouping
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Edge-Based Unsupervised Evaluation of Image Segmentation
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Object Proposals Based on Variance Measure
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Recent Advances in Deep Learning Techniques and Its Applications: An Overview
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An Improved BING/NMS Algorithm for Aircraft Detection
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SSPSNet: a single shot panoptic segmentation network for accurate scene parsing
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Semantic object removal with convolutional neural network feature-based inpainting approach
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3D object recognition and classification: a systematic literature review
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High-Performance Detection of Concealed Forbidden Objects on Human Body with Deep Neural Networks Based on Passive Millimeter Wave and Visible Imagery
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Convolutional Neural Network for the Semantic Segmentation of Remote Sensing Images
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Unsupervised segmentation evaluation: an edge-based method
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Multi-scale energy optimization for object proposal generation
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RETRACTED ARTICLE: Moving object surveillance using object proposals and background prior prediction
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Fire smoke detection algorithm based on motion characteristic and convolutional neural networks
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Insights of object proposal evaluation
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A review of object detection based on deep learning
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A survey of recent 3D scene analysis and processing methods
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A class-independent flexible algorithm to generate region proposals
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Spatial-aware collaborative region mining for fine-grained recognition
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MI-RPN: Integrating multi-modalities and multi-scales information for region proposal
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Object Recognition by Sequential Figure-Ground Ranking
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Multiscale Symmetric Part Detection and Grouping
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Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
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Local Alignments for Fine-Grained Categorization
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Midrange Geometric Interactions for Semantic Segmentation
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Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images
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Automated Visual Fin Identification of Individual Great White Sharks
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Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability
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DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
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Complete 3D Scene Parsing from an RGBD Image
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Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks
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Deep Learning for Generic Object Detection: A Survey
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OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition
inferred← citeshttps://doi.org/10.1007/s11276-019-02096-2openalex-snapshot
A novel F-RCNN based hand gesture detection approach for FMCW systems
inferred← citeshttps://doi.org/10.1007/s11280-018-0556-3openalex-snapshot
Multi-scale deep context convolutional neural networks for semantic segmentation
inferred← citeshttps://doi.org/10.1007/s11760-018-1322-9openalex-snapshot
Unsupervised video object segmentation using conditional random fields
inferred← citeshttps://doi.org/10.1007/s12652-021-03296-5openalex-snapshot
A region proposal algorithm using texture similarity and perceptual grouping
inferred← citeshttps://doi.org/10.1007/s41095-018-0120-1openalex-snapshot
BING: Binarized normed gradients for objectness estimation at 300fps
inferred← citeshttps://doi.org/10.1007/s42154-018-0009-9openalex-snapshot
Survey on Artificial Intelligence for Vehicles
inferred← citeshttps://doi.org/10.1016/b978-0-12-816034-3.00010-9openalex-snapshot
Biomedical image segmentation for precision radiation oncology
inferred← citeshttps://doi.org/10.1016/b978-0-443-36686-4.00002-xopenalex-snapshot
Distance, classification and deep learning
inferred← citeshttps://doi.org/10.1016/j.aei.2018.04.002openalex-snapshot
Automated residential building detection from airborne LiDAR data with deep neural networks
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111410openalex-snapshot
A deep learning-based and adaptive region proposal algorithm for semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.cmpb.2018.03.018openalex-snapshot
A topo-graph model for indistinct target boundary definition from anatomical images
inferred← citeshttps://doi.org/10.1016/j.compag.2016.04.032openalex-snapshot
Local descriptors for soybean disease recognition
inferred← citeshttps://doi.org/10.1016/j.compag.2018.09.030openalex-snapshot
Dairy goat detection based on Faster R-CNN from surveillance video
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2018.03.002openalex-snapshot
Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108982openalex-snapshot
Extraction and analysis algorithms for Sanxingdui cultural relics based on hyperspectral imaging
inferred← citeshttps://doi.org/10.1016/j.cosrev.2020.100301openalex-snapshot
A comprehensive and systematic look up into deep learning based object detection techniques: A review
inferred← citeshttps://doi.org/10.1016/j.cviu.2015.06.004openalex-snapshot
Optimizing the decomposition for multiple foreground cosegmentation
inferred← citeshttps://doi.org/10.1016/j.cviu.2015.08.009openalex-snapshot
Scene parsing by nonparametric label transfer of content-adaptive windows
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.06.005openalex-snapshot
Segmentation models diversity for object proposals
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.07.005openalex-snapshot
Unsupervised object region proposals for RGB-D indoor scenes
inferred← citeshttps://doi.org/10.1016/j.cviu.2020.103026openalex-snapshot
Low-level multiscale image segmentation and a benchmark for its evaluation
inferred← citeshttps://doi.org/10.1016/j.eswa.2016.12.017openalex-snapshot
Personness estimation for real-time human detection on mobile devices
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.04.001openalex-snapshot
Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116105openalex-snapshot
A comprehensive and systematic review on classical and deep learning based region proposal algorithms
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119960openalex-snapshot
A comprehensive survey of oriented object detection in remote sensing images
inferred← citeshttps://doi.org/10.1016/j.ijleo.2020.166251openalex-snapshot
Efficient foreground object segmentation from video by Probability Weighted Moments
inferred← citeshttps://doi.org/10.1016/j.image.2017.02.007openalex-snapshot
Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks
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.imavis.2017.01.009openalex-snapshot
The Stixel World: A medium-level representation of traffic scenes
inferred← citeshttps://doi.org/10.1016/j.imavis.2017.02.008openalex-snapshot
Saliency and KAZE features assisted object segmentation
inferred← citeshttps://doi.org/10.1016/j.imavis.2017.11.004openalex-snapshot
Visual tracking based on edge field with object proposal association
inferred← citeshttps://doi.org/10.1016/j.imavis.2020.103898openalex-snapshot
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103653openalex-snapshot
A comprehensive survey on multi-sensor information processing and fusion for BEV perception in autonomous vehicles
inferred← citeshttps://doi.org/10.1016/j.infrared.2016.12.021openalex-snapshot
Proposal generation method for object detection in infrared image
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.10.012openalex-snapshot
Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.07.003openalex-snapshot
Contour segment grouping for object detection
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.03.018openalex-snapshot
Temporally enhanced image object proposals for online video object and action detections
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.02.024openalex-snapshot
RETRACTED: Efficient object analysis by leveraging deeply-trained object proposals prediction model
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.03.006openalex-snapshot
RETRACTED: Moving object surveillance using object proposals and background prior prediction
inferred← citeshttps://doi.org/10.1016/j.jvcir.2019.102700openalex-snapshot
Hierarchical Learning-Guided human motion quality assessment in big data environment
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103293openalex-snapshot
Video object segmentation via random walks on two-frame graphs comprising superpixels
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106062openalex-snapshot
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110247openalex-snapshot
Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.09.045openalex-snapshot
Boundary-aware box refinement for object proposal generation
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.11.046openalex-snapshot
A fast and memory saved GPU acceleration algorithm of convolutional neural networks for target detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.12.051openalex-snapshot
Combining local and global hypotheses in deep neural network for multi-label image classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.05.071openalex-snapshot
CNN-based edge filtering for object proposals
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.09.048openalex-snapshot
Deep feature based contextual model for object detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.03.037openalex-snapshot
Methods and datasets on semantic segmentation: A review
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.03.077openalex-snapshot
Deep key frame extraction for sport training
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.08.052openalex-snapshot
Semantic scene completion with dense CRF from a single depth image
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.10.025openalex-snapshot
3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.11.118openalex-snapshot
A Brief Survey on Semantic Segmentation with Deep Learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.085openalex-snapshot
Recent advances in deep learning for object detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.085openalex-snapshot
Image scene geometry recognition using low-level features fusion at multi-layer deep CNN
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.05.013openalex-snapshot
Spatial contextual superpixel model for natural roadside vegetation classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.11.009openalex-snapshot
Category-specific object segmentation via unsupervised discriminant shape
inferred← citeshttps://doi.org/10.1016/j.patrec.2016.01.019openalex-snapshot
The three R’s of computer vision: Recognition, reconstruction and reorganization
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.01.004openalex-snapshot
Deep contour and symmetry scored object proposal
inferred← citeshttps://doi.org/10.1038/s41467-021-26565-5openalex-snapshot
A deep learning approach for complex microstructure inference
inferred← citeshttps://doi.org/10.1049/iet-cvi.2015.0276openalex-snapshot
Objectness ranking by uniform Bayesian model with multimodal and global cues
inferred← citeshttps://doi.org/10.1049/iet-cvi.2016.0502openalex-snapshot
Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting
inferred← citeshttps://doi.org/10.1049/iet-cvi.2018.5346openalex-snapshot
Orthogonal object proposal and its application
inferred← citeshttps://doi.org/10.1049/iet-ipr.2016.0009openalex-snapshot
Fully automatic figure‐ground segmentation algorithm based on deep convolutional neural network and GrabCut
inferred← citeshttps://doi.org/10.1063/5.0236493openalex-snapshot
Review of face-based recognition systems
inferred← citeshttps://doi.org/10.1080/17445760.2025.2469512openalex-snapshot
An image-text multimodal fusion of deep learning for detecting insulator defects
inferred← citeshttps://doi.org/10.1088/1742-6596/2082/1/012012openalex-snapshot
DC-YOLOv3: A novel efficient object detection algorithm
inferred← citeshttps://doi.org/10.1089/big.2019.0093openalex-snapshot
A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data
inferred← citeshttps://doi.org/10.1109/access.2018.2814568openalex-snapshot
Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field
inferred← citeshttps://doi.org/10.1109/access.2018.2874544openalex-snapshot
Scribble-Supervised Segmentation of Aerial Building Footprints Using Adversarial Learning
inferred← citeshttps://doi.org/10.1109/access.2018.2886133openalex-snapshot
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
inferred← citeshttps://doi.org/10.1109/access.2019.2904712openalex-snapshot
Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2019.2933479openalex-snapshot
Online Semantic Object Segmentation for Vision Robot Collected Video
inferred← citeshttps://doi.org/10.1109/acpr.2017.128openalex-snapshot
Video Object Segmentation via Cellular Automata Refinement
inferred← citeshttps://doi.org/10.1109/aic57670.2023.10263964openalex-snapshot
A People Counting System Using Convolutional Neural Network for Avoiding Public Gathering and Maintaining Social Distancing
inferred← citeshttps://doi.org/10.1109/aisp.2015.7123531openalex-snapshot
Superpixel based RGB-D image segmentation using Markov random field
inferred← citeshttps://doi.org/10.1109/amathe65477.2025.11081174openalex-snapshot
Real-Time Accident Event Detection Using CNN-YOLOv3 Fusion: Improving Accuracy for Enhanced Safety Measures
inferred← citeshttps://doi.org/10.1109/apsipa.2017.8282178openalex-snapshot
Common visual pattern discovery and search
inferred← citeshttps://doi.org/10.1109/apsipa.2017.8282298openalex-snapshot
Tracking objects using 3D object proposals
inferred← citeshttps://doi.org/10.1109/ascc.2017.8287425openalex-snapshot
Estimation system of construction equipment from field image by combination learning of its parts
inferred← citeshttps://doi.org/10.1109/avss.2017.8078541openalex-snapshot
A study on detecting drones using deep convolutional neural networks
inferred← citeshttps://doi.org/10.1109/cac59555.2023.10452013openalex-snapshot
A Large-Scale Benchmark for Pavement Crack Segmentation
inferred← citeshttps://doi.org/10.1109/chicc.2016.7554472openalex-snapshot
Double Layer Multi-Threshold Extension improving the generic object proposal generation
inferred← citeshttps://doi.org/10.1109/cisp-bmei.2016.7852725openalex-snapshot
Improved proposal generation method applying bayesian integration
inferred← citeshttps://doi.org/10.1109/cisp-bmei.2016.7852763openalex-snapshot
Object detection based on BING in optical remote sensing images
inferred← citeshttps://doi.org/10.1109/compcomm.2018.8780841openalex-snapshot
A Fast Object Proposal Assessment Method Based on Edge Directions
inferred← citeshttps://doi.org/10.1109/compcomm.2018.8780987openalex-snapshot
Proposal Generation by Learning Visual Relationship
inferred← citeshttps://doi.org/10.1109/crv.2013.43openalex-snapshot
On Structuring Multiple Grouping Hypotheses in Generic Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2012.6247956openalex-snapshot
Chebyshev approximations to the histogram χ2 kernel
inferred← citeshttps://doi.org/10.1109/cvpr.2013.424openalex-snapshot
Composite Statistical Inference for Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2014.215openalex-snapshot
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1109/cvpr.2014.414openalex-snapshot
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
inferred← citeshttps://doi.org/10.1109/cvpr.2014.455openalex-snapshot
What Are You Talking About? Text-to-Image Coreference
inferred← citeshttps://doi.org/10.1109/cvpr.2014.456openalex-snapshot
Predicting Failures of Vision Systems
inferred← citeshttps://doi.org/10.1109/cvpr.2014.49openalex-snapshot
Multiscale Combinatorial Grouping
inferred← citeshttps://doi.org/10.1109/cvpr.2014.50openalex-snapshot
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
inferred← citeshttps://doi.org/10.1109/cvpr.2014.53openalex-snapshot
Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data
inferred← citeshttps://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298765openalex-snapshot
Learning to propose objects
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298788openalex-snapshot
Semantic part segmentation using compositional model combining shape and appearance
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7298795openalex-snapshot
Making better use of edges via perceptual grouping
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