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Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4615-4413-5_9openalex-snapshot
Contour and Texture Analysis for Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_20openalex-snapshot
Simultaneous Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_26openalex-snapshot
Edge Boxes: Locating Object Proposals from Edges
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_47openalex-snapshot
Geodesic Object Proposals
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-642-15555-0_42openalex-snapshot
Category Independent Object Proposals
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1007/978-3-642-33786-4_33openalex-snapshot
Shape Sharing for Object Segmentation
inferredcites →https://doi.org/10.1007/s11263-007-0090-8openalex-snapshot
LabelMe: A Database and Web-Based Tool for Image Annotation
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-014-0752-2openalex-snapshot
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization
inferredcites →https://doi.org/10.1023/a:1011174803800openalex-snapshot
Contour and Texture Analysis for Image 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.2013.406openalex-snapshot
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.310openalex-snapshot
Generating Object Segmentation Proposals Using Global and Local Search
inferredcites →https://doi.org/10.1109/cvpr.2014.414openalex-snapshot
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
inferredcites →https://doi.org/10.1109/cvpr.2014.49openalex-snapshot
Multiscale Combinatorial Grouping
inferredcites →https://doi.org/10.1109/cvpr.2014.50openalex-snapshot
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298765openalex-snapshot
Learning to propose objects
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298967openalex-snapshot
Multi-objective convolutional learning for face labeling
inferredcites →https://doi.org/10.1109/cvpr.2015.7299024openalex-snapshot
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7299067openalex-snapshot
DeepEdge: A multi-scale bifurcated deep network for top-down contour detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7299103openalex-snapshot
Situational object boundary 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.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.2007.4408985openalex-snapshot
Recovering Occlusion Boundaries from a Single Image
inferredcites →https://doi.org/10.1109/iccv.2011.6126343openalex-snapshot
Semantic contours from inverse detectors
inferredcites →https://doi.org/10.1109/iccv.2011.6126456openalex-snapshot
Segmentation as selective search for object recognition
inferredcites →https://doi.org/10.1109/iccv.2013.231openalex-snapshot
Structured Forests for Fast Edge Detection
inferredcites →https://doi.org/10.1109/iccv.2015.162openalex-snapshot
Semantic Image Segmentation via Deep Parsing Network
inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.179openalex-snapshot
Conditional Random Fields as Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2015.181openalex-snapshot
Boosting Object Proposals: From Pascal to COCO
inferredcites →https://doi.org/10.1109/iccv.2015.65openalex-snapshot
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-snapshot
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1109/tpami.2004.1273918openalex-snapshot
Learning to detect natural image boundaries using local brightness, color, and texture cues
inferredcites →https://doi.org/10.1109/tpami.2007.1144openalex-snapshot
Groups of Adjacent Contour Segments for Object Detection
inferredcites →https://doi.org/10.1109/tpami.2010.161openalex-snapshot
Contour Detection and Hierarchical Image Segmentation
inferredcites →https://doi.org/10.1109/tpami.2012.28openalex-snapshot
Measuring the Objectness of Image Windows
inferredcites →https://doi.org/10.1109/tpami.2015.2465908openalex-snapshot
What Makes for Effective Detection Proposals?
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot
Caffe: Convolutional Architecture for Fast Feature Embedding
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1412.7062openalex-snapshot
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
inferredcites →https://doi.org/10.48550/arxiv.1506.06204openalex-snapshot
Learning to Segment Object Candidates
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Object contour based on improving region growing method and context border condition
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Simultaneous Edge Alignment and Learning
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Contour Knowledge Transfer for Salient Object Detection
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Can Deep Learning Learn the Principle of Closed Contour Detection?
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DOOBNet: Deep Object Occlusion Boundary Detection from an Image
inferred← citeshttps://doi.org/10.1007/978-3-030-29888-3_20openalex-snapshot
Object Contour and Edge Detection with RefineContourNet
inferred← citeshttps://doi.org/10.1007/978-3-030-30508-6_21openalex-snapshot
Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection
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Scene Segmentation and Boundary Estimation in Primary Visual Cortex
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Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System
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Underwater Image Clearing Algorithm Based on the Laplacian Edge Detection Operator
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KDED: A Knowledge Distillation Based Edge Detector
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SEHSNet: Stage Enhancement and Hierarchical Supervision Network for edge detection
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Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
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Fully automated snow depth measurements from time-lapse images applying a convolutional neural network
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Experimental Assessment of Fracture Initiation and Wettability in Low and High Brittle Shales by CO2 Foam Fracturing Fluids
inferred← citeshttps://doi.org/10.1038/s40494-025-01908-3openalex-snapshot
Automatic generation of Chinese mural line drawings via enhanced edge detection and CycleGAN-based denoising
inferred← citeshttps://doi.org/10.1038/s41598-020-80675-6openalex-snapshot
Deep neural network model of haptic saliency
inferred← citeshttps://doi.org/10.1049/cit2.12118openalex-snapshot
Bilateral U‐Net semantic segmentation with spatial attention mechanism
inferred← citeshttps://doi.org/10.1049/cvi2.12034openalex-snapshot
Multiscale fully convolutional network‐based approach for multilingual character segmentation
inferred← citeshttps://doi.org/10.1049/iet-bmt.2017.0240openalex-snapshot
Convolutional encoder–decoder networks for pixel‐wise ear detection and segmentation
inferred← citeshttps://doi.org/10.1049/iet-ipr.2017.1144openalex-snapshot
Automatic object extraction from images using deep neural networks and the level‐set method
inferred← citeshttps://doi.org/10.1049/ipr2.12076openalex-snapshot
Dense connection decoding network for crisp contour detection
inferred← citeshttps://doi.org/10.1049/ipr2.12228openalex-snapshot
Detail texture detection based on Yolov4‐tiny combined with attention mechanism and bicubic interpolation
inferred← citeshttps://doi.org/10.1049/itr2.12173openalex-snapshot
CurSeg: A pavement crack detector based on a deep hierarchical feature learning segmentation framework
inferred← citeshttps://doi.org/10.1051/itmconf/20245903015openalex-snapshot
Algorithm for extracting contours of agricultural crops images
inferred← citeshttps://doi.org/10.1080/01431161.2024.2329527openalex-snapshot
Farmland parcel boundary extraction based on local feature extraction and sparse representation from remote sensing images
inferred← citeshttps://doi.org/10.1080/10106049.2024.2302176openalex-snapshot
Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map
inferred← citeshttps://doi.org/10.1109/access.2018.2820004openalex-snapshot
Learning Deconvolutional Network for Object Tracking
inferred← citeshttps://doi.org/10.1109/access.2020.2971524openalex-snapshot
Deep Learning Approach for Apple Edge Detection to Remotely Monitor Apple Growth in Orchards
inferred← citeshttps://doi.org/10.1109/access.2020.2994160openalex-snapshot
REDN: A Recursive Encoder-Decoder Network for Edge Detection
inferred← citeshttps://doi.org/10.1109/access.2021.3102632openalex-snapshot
Extraction of Dense Urban Buildings From Photogrammetric and LiDAR Point Clouds
inferred← citeshttps://doi.org/10.1109/access.2021.3133276openalex-snapshot
Selfie Segmentation in Video Using N-Frames Ensemble
inferred← citeshttps://doi.org/10.1109/access.2022.3146339openalex-snapshot
Bidirectional Multiscale Refinement Network for Crisp Edge Detection
inferred← citeshttps://doi.org/10.1109/access.2022.3218149openalex-snapshot
Multi-Scale Auto-Encoder for Edge Detection
inferred← citeshttps://doi.org/10.1109/access.2023.3289203openalex-snapshot
Learning Multi-Scale Features Using Dilated Convolution for Contour Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3549870openalex-snapshot
Dynamic Line Drawing: A Motion Semantics-Based Photo-to-Sketch Rendering Algorithm
inferred← citeshttps://doi.org/10.1109/ascc.2017.8287423openalex-snapshot
Semantic translation with convolutional encoder-decoder networks for viewpoint estimation
inferred← citeshttps://doi.org/10.1109/avss.2017.8078547openalex-snapshot
Background subtraction using encoder-decoder structured convolutional neural network
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728350openalex-snapshot
Deep Learning-based Method for PV Panels Segmentation and Defects Detection with Infrared Images
inferred← citeshttps://doi.org/10.1109/cict56698.2022.9997943openalex-snapshot
Generative Adversarial Networks for Inpainting Occluded Face Images
inferred← citeshttps://doi.org/10.1109/cvpr.2017.191openalex-snapshot
CASENet: Deep Category-Aware Semantic Edge Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2017.34openalex-snapshot
Instance-Level Salient Object Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2017.407openalex-snapshot
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation
inferred← citeshttps://doi.org/10.1109/cvpr.2017.565openalex-snapshot
One-Shot Video Object Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2017.621openalex-snapshot
Contour-Constrained Superpixels for Image and Video Processing
inferred← citeshttps://doi.org/10.1109/cvpr.2017.622openalex-snapshot
Richer Convolutional Features for Edge Detection
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.2018.00199openalex-snapshot
Learning a Discriminative Feature Network for Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00346openalex-snapshot
Boundary Flow: A Siamese Network that Predicts Boundary Motion Without Training on Motion
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00154openalex-snapshot
Salient Object Detection With Pyramid Attention and Salient Edges
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00395openalex-snapshot
Bi-Directional Cascade Network for Perceptual Edge Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00996openalex-snapshot
Monocular Depth Estimation Using Relative Depth Maps
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00425openalex-snapshot
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01057openalex-snapshot
Deepstrip: High-Resolution Boundary Refinement
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01352openalex-snapshot
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00146openalex-snapshot
EDTER: Edge Detection with Transformer
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01488openalex-snapshot
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02452openalex-snapshot
MuGE: Multiple Granularity Edge Detection
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00018openalex-snapshot
Graph@FIT Submission to the NVIDIA AI City Challenge 2018
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00156openalex-snapshot
SkeletonNet: Shape Pixel to Skeleton Pixel
inferred← citeshttps://doi.org/10.1109/dcabes52998.2021.00033openalex-snapshot
Multiscale Global Channel Network for Edge Detection
inferred← citeshttps://doi.org/10.1109/dicta.2018.8615801openalex-snapshot
Structural Edge Detection: A Dataset and Benchmark
inferred← citeshttps://doi.org/10.1109/etcc65847.2025.11108613openalex-snapshot
IntelliMotion: Real-Time Hand Gesture and Pose Tracking Using OpenCV and MediaPipe
inferred← citeshttps://doi.org/10.1109/fg.2017.14openalex-snapshot
What Will Your Future Child Look Like? Modeling and Synthesis of Hereditary Patterns of Facial Dynamics
inferred← citeshttps://doi.org/10.1109/icacte55855.2022.9943668openalex-snapshot
Image Extraction of Thangka Line Drawings with Transformer
inferred← citeshttps://doi.org/10.1109/icais53314.2022.9743089openalex-snapshot
Cascaded Fully Convolutional Networks for Object Boundary Detection
inferred← citeshttps://doi.org/10.1109/icaml54311.2021.00025openalex-snapshot
Multiscale Hierarchical Attention Fusion Network for Edge Detection
inferred← citeshttps://doi.org/10.1109/icaset.2019.8714313openalex-snapshot
The Application of Deep Learning to Quantify SAT/VAT in Human Abdominal Area
inferred← citeshttps://doi.org/10.1109/icassp.2017.7952482openalex-snapshot
Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing
inferred← citeshttps://doi.org/10.1109/icassp.2019.8683826openalex-snapshot
Air-tissue Boundary Segmentation in Real Time Magnetic Resonance Imaging Video Using a Convolutional Encoder-decoder Network
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887545openalex-snapshot
Integrating Multi-Scale Compression Attention with Edge Detection for Ultrasound Tumor Segmentation
inferred← citeshttps://doi.org/10.1109/iccad66269.2025.11240932openalex-snapshot
G-Contour: GPU Accelerated Contour Tracing For Large-Scale Layouts
inferred← citeshttps://doi.org/10.1109/iccv.2015.164openalex-snapshot
Holistically-Nested Edge Detection
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00507openalex-snapshot
Pixel Difference Networks for Efficient Edge Detection
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00680openalex-snapshot
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01993openalex-snapshot
Holistic Geometric Feature Learning for Structured Reconstruction
inferred← citeshttps://doi.org/10.1109/iccvw.2017.181openalex-snapshot
DSD: Depth Structural Descriptor for Edge-Based Assistive Navigation
inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00131openalex-snapshot
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image
inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00243openalex-snapshot
SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton Extraction
inferred← citeshttps://doi.org/10.1109/icdar.2017.181openalex-snapshot
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
inferred← citeshttps://doi.org/10.1109/icdar.2017.50openalex-snapshot
Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection
inferred← citeshttps://doi.org/10.1109/icemi.2017.8265872openalex-snapshot
Semantic image segmentation using region-based object detector
inferred← citeshttps://doi.org/10.1109/icicml57342.2022.10009866openalex-snapshot
DCA-Net: A W-shaped network for segmenting COVID-19 infected area from medical images
inferred← citeshttps://doi.org/10.1109/iciev.2018.8641005openalex-snapshot
Adversarial Network for edge detection
inferred← citeshttps://doi.org/10.1109/iciibms50712.2020.9336200openalex-snapshot
A System of Clothing Boundary Recognition Using Machine Learning For Life Support Robots
inferred← citeshttps://doi.org/10.1109/icip.2017.8296580openalex-snapshot
Patch-based fully convolutional neural network with skip connections for retinal blood vessel segmentation
inferred← citeshttps://doi.org/10.1109/icip40778.2020.9190982openalex-snapshot
Traditional Method Inspired Deep Neural Network For Edge Detection
inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506018openalex-snapshot
Scale-Invariant Salient Edge Detection
inferred← citeshttps://doi.org/10.1109/icip46576.2022.9897516openalex-snapshot
Cu-Net: Towards Continuous Multi-Class Contour Detection for Retinal Layer Segmentation In Oct Images
inferred← citeshttps://doi.org/10.1109/icmla51294.2020.00202openalex-snapshot
Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition
inferred← citeshttps://doi.org/10.1109/icmlc.2017.8108952openalex-snapshot
Adversarial neural networks for basal membrane segmentation of microinvasive cervix carcinoma in histopathology images
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412223openalex-snapshot
TCATD: Text Contour Attention for Scene Text Detection
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412410openalex-snapshot
Walk the Lines: Object Contour Tracing CNN for Contour Completion of Ships
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