A list of all papers on Semantic Segmentation and the datasets they use. This site is maintained by Holger Caesar. To complement or correct it, please contact me at holger-at-it-caesar.com or visit it-caesar.com. Also checkout really-awesome-gan and our COCO-Stuff dataset.
For details which paper uses which dataset, please open the Google Drive document.
Below is a snapshot of the listed papers from April 03, 2017:
| Identifier | Paper title | Venue | Year |
|---|---|---|---|
| alvarez14wacv | Large-Scale Semantic Co-Labeling of Image Sets | wacv | 2014 |
| andrearczyk17arxiv | Texture segmentation with Fully Convolutional Networks | arxiv | 2017 |
| armeni17arxiv | Joint 2D-3D-Semantic Data for Indoor Scene Understanding | arxiv | 2017 |
| arnab16bmvc | Bottom-up Instance Segmentation using Deep Higher-Order CRFs | bmvc | 2016 |
| arnab16eccv | Higher Order Potentials in End-to-End Trainable Conditional Random Fields | eccv | 2016 |
| audebert17urse | Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling | urse | 2017 |
| badrinarayanan15arxiv | Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling | arxiv | 2015 |
| bai16arxiv | Deep Watershed Transform for Instance Segmentation | arxiv | 2016 |
| bansal17arxiv | PixelNet: Representation of the pixels, by the pixels, and for the pixels. | arxiv | 2017 |
| barnes17icra | Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy | arxiv | 2017 |
| batra08cvpr | Learning Class-Specific Affinities for Image Labelling | cvpr | 2008 |
| bell15cvpr | Material recognition in the wild with the materials in context database | cvpr | 2015 |
| bergbauer13report | Morphological Proximity Priors: Spatial Relationships for Semantic Segmentation | report | 2013 |
| bertasius16arxiv | Convolutional Random Walk Networks for Semantic Image Segmentation | arxiv | 2016 |
| bertasius16cvpr | Semantic Segmentation with Boundary Neural Fields | cvpr | 2016 |
| boix12ijcv | Harmony potentials: Fusing global and local scale for semantic image segmentation | ijcv | 2012 |
| bratieres14icml | Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications | icml | 2014 |
| brahmbatt17wacv | StuffNet: Using Stuff to Improve Object Detection | wacv | 2017 |
| brust15cvprw | Efficient Convolutional Patch Networks for Scene Understanding | cvprw | 2015 |
| brust15visapp | Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding | visapp | 2015 |
| bulo14cvpr | Neural Decision Forests for Semantic Image Labelling | cvpr | 2014 |
| byeon15cvpr | Scene Labeling with LSTM Recurrent Neural Networks | cvpr | 2015 |
| cadena14icra | Semantic segmentation with heterogeneous sensor coverages | icra | 2014 |
| caesar15bmvc | Joint Calibration for Semantic Segmentation | bmvc | 2015 |
| caesar16arxiv | COCO-Stuff : Thing and Stuff Classes in Context | arxiv | 2016 |
| caesar16eccv | Region-based semantic segmentation with end-to-end training | eccv | 2016 |
| caltagirone17arxiv | Fast LIDAR-based Road Detection Using Convolutional Neural Networks | arxiv | 2017 |
| campbell97pr | nterpreting image databases by region classification | pr | 1997 |
| cao16arxiv | Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation | arxiv | 2016 |
| carreira10cvpr | Constrained Parametric Min-Cuts for Automatic Object Segmentation | cvpr | 2010 |
| carreira12eccv | Semantic Segmentation with Second-Order Pooling | eccv | 2012 |
| carreira14pami | Freeform region description with second-order pooling | pami | 2014 |
| chandra16arxiv | Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs | arxiv | 2016 |
| chen15arxiv | Attention to Scale: Scale-aware Semantic Image Segmentation | arxiv | 2015 |
| chen16iclr | Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs | iclr | 2016 |
| cimpoi15cvpr | Deep filter banks for texture recognition, description, and segmentation | cvpr | 2015 |
| cogswell14arxiv | Combining the Best of Graphical Models and ConvNets for Semantic Segmentation | arxiv | 2014 |
| curto17arxiv | HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection | arxiv | 2017 |
| dai15arxiv | BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation | arxiv | 2015 |
| dai16cvpr | Instance-aware Semantic Segmentation via Multi-task Network Cascades | cvpr | 2015 |
| dai15cvpr | Convolutional Feature Masking for Joint Object and Stuff Segmentation | cvpr | 2015 |
| dai16arxiv | Instance-sensitive Fully Convolutional Networks | arxiv | 2016 |
| dealvis17arxiv | Urban Scene Segmentation with Laser-Constrained CRFs | arxiv | 2017 |
| dong14eccv | Towards Unified Object Detection and Semantic Segmentation | eccv | 2014 |
| eigen12cvpr | Nonparametric image parsing using adaptive neighbor sets | cvpr | 2012 |
| eigen15iccv | Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture | iccv | 2015 |
| farabet12icml | Scene Parsing with Multiscale Feature Learning, Purity trees, and Optimal Covers | icml | 2012 |
| farabet13pami | Learning Hierarchical Features for Scene Labeling | pami | 2013 |
| fathi17arxiv | Semantic Instance Segmentation via Deep Metric Learning | arxiv | 2017 |
| fayyaz16arxiv | STFCN: Spatio-Temporal FCN for Semantic Video Segmentation | arxiv | 2016 |
| freytag12icpr | Efficient Semantic Segmentation with Gaussian Processes and Histogram Intersection Kernels | icpr | 2012 |
| froehlich10icpr | A Fast Approach for Pixelwise Labeling of Facade Images | icpr | 2010 |
| froehlich12accv | Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach | accv | 2012 |
| froehlich12dagm | As Time Goes By — Anytime Semantic Segmentation with Iterative Context Forests | dagm | 2012 |
| gadde16eccv | Superpixel Convolutional Networks using Bilateral Inceptions | eccv | 2016 |
| gatta14cvpr | Unrolling loopy top-down semantic feedback in convolutional deep networks | cvpr | 2014 |
| george15cvpr | Image Parsing with a Wide Range of Classes and Scene-Level Context | cvpr | 2015 |
| ghiasi16eccv | Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation | eccv | 2016 |
| girshick14cvpr | Rich feature hierarchies for accurate object detection and semantic segmentation | cvpr | 2014 |
| gould09iccv | Decomposing a scene into geometric and semantically consistent regions | iccv | 2009 |
| gould12eccv | PatchMatchGraph: Building a Graph of Dense Patch Correspondences for Label Transfer | eccv | 2012 |
| guillaumin13cvpr | Fast Energy Minimization using Learned State Filters | cvpr | 2013 |
| hariharan14eccv | Simultaneous Detection and Segmentation | eccv | 2014 |
| hariharan15cvpr | Hypercolumns for object segmentation and fine-grained localization | cvpr | 2015 |
| harley16iclrw | Learning Dense Convolutional Embeddings for Semantic Segmentation | iclrw | 2015 |
| hayder16arxiv | Shape-aware Instance Segmentation | arxiv | 2016 |
| he16arxiv | RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling | arxiv | 2016 |
| he17arxiv | Mask R-CNN | arxiv | 2017 |
| hoeft14ki | Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks | ki | 2014 |
| hoffman16arxiv | FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation | arxiv | 2016 |
| hong15arxiv | Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation | arxiv | 2015 |
| hong16cvpr | Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network | cvpr | 2016 |
| hou16arxiv | Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels | arxiv | 2016 |
| hong17arxiv | Weakly Supervised Semantic Segmentation using Web-Crawled Videos | arxiv | 2017 |
| huang16arxiv | Object Boundary Guided Semantic Segmentation | arxiv | 2016 |
| huang16arxiv | Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency | arxiv | 2016 |
| huang17arxiv | Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning | arxiv | 2017 |
| hur16eccvw | Joint Optical Flow and Temporally Consistent Semantic Segmentation | eccvw | 2016 |
| hu16arxiv | Recalling Holistic Information for Semantic Segmentation | arxiv | 2016 |
| hu17arxiv | LabelBank: Revisiting Global Perspectives for Semantic Segmentation | arxiv | 2017 |
| husain16icra | Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes | icra | 2016 |
| ion11nips | Probabilistic joint image segmentation and labeling | nips | 2011 |
| islam17arxiv | Label Refinement Network for Coarse-to-Fine Semantic Segmentation | arxiv | 2017 |
| jafari17arxiv | Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation | arxiv | 2017 |
| javanmardi16arxiv | Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation | arxiv | 2016 |
| jegou16arxiv | The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation | arxiv | 2016 |
| jian09cvpr | Efficient Scale Space Auto-Context for Image Segmentation and Labeling | cvpr | 2009 |
| jin16arxiv | Multi-Path Feedback Recurrent Neural Network for Scene Parsing | arxiv | 2016 |
| jin16arxiv | Object Detection Free Instance Segmentation With Labeling Transformations | arxiv | 2016 |
| kekec14bmvc | Contextually Constrained Deep Networks for Scene Labeling | bmvc | 2014 |
| kemker17arxiv | High-Resolution Multispectral Dataset for Semantic Segmentation | arxiv | 2017 |
| kemker17arxiv | Deep Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Imagery | arxiv | 2017 |
| kendall15arxiv | Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding | arxiv | 2015 |
| khoreva16arxiv | Weakly Supervised Semantic Labelling and Instance Segmentation | arxiv | 2016 |
| khoreva16arxiv | Simple Does It: Weakly Supervised Instance and Semantic Segmentation | arxiv | 2016 |
| kim16arxiv | Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation | arxiv | 2016 |
| kim17arxiv | A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction | arxiv | 2017 |
| kokkinos16iclr | Pushing the Boundaries of Boundary Detection Using Deep Learning | iclr | 2016 |
| kokkinos16arxiv | UberNet : Training a ‘Universal’ Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory | arxiv | 2016 |
| kolesnikov16arxiv | Improving Weakly-Supervised Object Localization By Micro-Annotation | arxiv | 2016 |
| kraehenbuehl11nips | Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials | nips | 2011 |
| kumar10cvpr | Efficiently Selecting Regions for Scene Understanding | cvpr | 2010 |
| kundu16cvpr | Feature Space Optimization for Semantic Video Segmentation | cvpr | 2016 |
| ladicky09iccv | Associative Hierarchical CRFs for Object Class Image Segmentation | iccv | 2009 |
| ladicky10bmvc | Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction | bmvc | 2010 |
| ladicky10eccv | Graph cut based inference with co-occurrence statistics | eccv | 2010 |
| ladicky12ijcv | Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction | ijcv | 2012 |
| larius10ijcv | Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields | ijcv | 2010 |
| larsson17arxiv | Learning Arbitrary Potentials in CRFs with Gradient Descent | arxiv | 2017 |
| lempitsky11nips | A Pylon Model for Semantic Segmentation | nips | 2011 |
| li13cvpr | Composite Statistical Inference for Semantic Segmentation | cvpr | 2013 |
| li16arxiv | Iterative Instance Segmentation | arxiv | 2016 |
| li16arxiv | RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model | arxiv | 2016 |
| liang16cvpr | Semantic Object Parsing with Local-Global Long Short-Term Memory | cvpr | 2016 |
| lim09iccv | Context by region ancestry | iccv | 2009 |
| lin16arxiv | RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation | arxiv | 2016 |
| lin16cvpr | Efficient piecewise training of deep structured models for semantic segmentation | cvpr | 2016 |
| lin15nips | Deeply Learning the Messages in Message Passing Inference | nips | 2015 |
| lin16arxiv | Exploring Context with Deep Structured models for Semantic Segmentation | arxiv | 2016 |
| lin16arxiv | ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation | arxiv | 2016 |
| lin16cvpr | Deep Structured Scene Parsing by Learning with Image Descriptions | cvpr | 2016 |
| liu11pami | Nonparametric Scene Parsing via Label Transfer | pami | 2011 |
| liu14wacv | Joint Semantic and Geometric Segmentation of Videos with a Stage Model | wacv | 2014 |
| liu15arxiv | ParseNet: Looking Wider to See Better | arxiv | 2015 |
| liu15cvpr | Multiclass Semantic Video Segmentation with Object-level Active Inference | cvpr | 2015 |
| liu15iccv | Semantic Image Segmentation via Deep Parsing Network | iccv | 2015 |
| liu15rss | Layered Interpretation of Street View Images | rss | 2015 |
| liu15wacv | Multi-class Semantic Video Segmentation with Exemplar-based Object Reasoning | wacv | 2015 |
| liu16arxiv | Discriminative Training of Deep Fully-connected Continuous CRFs with Task-specific Loss | arxiv | 2016 |
| long15cvpr | Fully Convolutional Networks for Semantic Segmentation | cvpr | 2015 |
| long16pami | Fully Convolutional Networks for Semantic Segmentation | pami | 2016 |
| luc16nipsw | emantic Segmentation using Adversarial Networks | nipsw | 2016 |
| lucchi11iccv | Are Spatial and Global Constraints Really Necessary for Segmentation? | iccv | 2011 |
| maninis16eccv | Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks | eccv | 2016 |
| marmanis16arxiv | Classification with an edge: improving semantic image segmentation with boundary detection | arxiv | 2016 |
| meier17arxiv | Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs | arxiv | 2017 |
| mostajabi14mva | A robust multilevel segment description for multi-class object recognition | mva | 2014 |
| mostajabi15cvpr | Feedforward semantic segmentation with zoom-out features | cvpr | 2015 |
| mostajabi16arxiv | Diverse Sampling for Self-Supervised Learning of Semantic Segmentation | arxiv | 2016 |
| mottaghi14cvpr | The Role of Context for Object Detection and Semantic Segmentation in the Wild | cvpr | 2014 |
| mousavian16arxiv | Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks | arxiv | 2016 |
| mueller14icra | Learning Depth-Sensitive Conditional Random Fields for Semantic Segmentation of RGB-D Images | icra | 2014 |
| munoz10eccv | Stacked hierarchical labeling | eccv | 2010 |
| mustikovela16arxiv | Can Ground Truth Label Propagation from Video help Semantic Segmentation? | arxiv | 2016 |
| najafi16arxiv | Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering | arxiv | 2016 |
| nekrasov16bmvc | Global Deconvolutional Networks for Semantic Segmentation | bmvc | 2016 |
| neverova17arxiv | Predicting Deeper into the Future of Semantic Segmentation | arxiv | 2017 |
| noh15arxiv | Learning Deconvolution Network for Semantic Segmentation | arxiv | 2015 |
| osep16icra | "Multi-Scale Object Candidates for Generic Object Tracking in Street | ||
| Scenes" | icra | 2016 | |
| papandreou15iccv | Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation | iccv | 2015 |
| paszke16arxiv | ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation | arxiv | 2016 |
| pathak15iccv | Constrained Convolutional Neural Networks for Weakly Supervised Segmentation | iccv | 2015 |
| pathak15iclr | Fully Convolutional Multi-Class Multipe Instance Learning | iclr | 2015 |
| pavel15ijcnn | Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video | ijcnn | 2015 |
| pinheiro15cvpr | From Image-level to Pixel-level Labeling with Convolutional Networks | cvpr | 2015 |
| pinheiro15icml | Recurrent Convolutional Neural Networks for Scene Parsing | icml | 2015 |
| plath09icml | Multi-class image segmentation using Conditional Random Fields and Global Classification | icml | 2009 |
| pohlen16arxiv | Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes | arxiv | 2016 |
| ren16arxiv | End-to-End Instance Segmentation with Recurrent Attention | arxiv | 2016 |
| reza16arxiv | Reinforcement Learning for Semantic Segmentation in Indoor Scenes | arxiv | 2016 |
| richter16eccv | Playing for Data: Ground Truth from Computer Games | eccv | 2016 |
| ros16arxiv | Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation | arxiv | 2016 |
| rubinstein12eccv | Annotation Propagation in Large Image Databases via Dense Image Correspondence | eccv | 2012 |
| saito15cvpr | Transformation of Markov Random Fields for Marginal Distribution Estimation | cvpr | 2015 |
| saleh16arxiv | Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation | arxiv | 2016 |
| saleh16dicta | Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network | dicta | 2016 |
| schwing15arxiv | Fully connected deep structured networks | arxiv | 2015 |
| schulz12esann | Learning Object-Class Segmentation with Convolutional Neural Networks | esann | 2012 |
| schulz15esann | Depth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks | esann | 2015 |
| schulz15isapp | CURFIL: Random Forests for Image Labeling on GPU | isapp | 2015 |
| shafaei16bmvc | Play and Learn: Using Video Games to Train Computer Vision Models | bmvc | 2016 |
| sharma14nips | Recursive Context Propagation Network for Semantic Scene Labeling | nips | 2014 |
| sharma15cvpr | Deep Hierarchical Parsing for Semantic Segmentation | cvpr | 2015 |
| shelhamer16arxiv | Clockwork Convnets for Video Semantic Segmentation | arxiv | 2016 |
| shen16arxiv | Fast Semantic Image Segmentation with High Order Context and Guided Filtering | arxiv | 2016 |
| shen17arxiv | Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation | arxiv | 2017 |
| shotton06eccv | TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation | eccv | 2006 |
| shotton08cvpr | Semantic texton forests for image categorization and segmentation | cvpr | 2008 |
| shotton09ijcv | Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context | ijcv | 2009 |
| shuai15cvpr | Integrating Parametric and Non-parametric Models For Scene Labeling | cvpr | 2015 |
| shuai16arxiv | Improving Fully Convolution Network for Semantic Segmentation | arxiv | 2016 |
| shuai16cvpr | DAG - Recurrent Neural Networks for Scene Labeling | cvpr | 2016 |
| shuai16tip | Scene Parsing With Integration of Parametric and Non-Parametric Models | tip | 2016 |
| singh13cvpr | Nonparametric scene parsing with adaptive feature relevance and semantic context | cvpr | 2013 |
| socher11icml | Parsing natural scenes and natural language with recursive neural networks | icml | 2011 |
| souly17arxiv | Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network | arxiv | 2017 |
| sturgess09bmvc | Combining Appearance and Structure from Motion Features for Road Scene Understanding | bmvc | 2009 |
| sturgess12bmvc | Scalable Cascade Inference for Semantic Image Segmentation | bmvc | 2012 |
| sun13pami | Relating Things and Stuff via Object Property Interactions. | pami | 2013 |
| tighe10eccv | Superparsing: Scalable Nonparametric Image Parsing with Superpixels | eccv | 2010 |
| tighe11iccv | Understanding Scenes on Many Levels | iccv | 2011 |
| tighe13cvpr | Finding Things: Image Parsing with Regions and Per-Exemplar Detectors | cvpr | 2013 |
| tighe13ijcv | Superparsing - Scalable Nonparametric Image Parsing with Superpixels | ijcv | 2013 |
| tighe14cvpr | Scene parsing with object instances and occlusion ordering | cvpr | 2014 |
| tokmakov16eccv | Weakly-Supervised Semantic Segmentation using Motion Cues | eccv | 2016 |
| tripathi15arxiv | Semantic Video Segmentation: Exploring Inference Efficiency | arxiv | 2015 |
| tschannen17arxiv | Deep Structured Features for Semantic Segmentation | arxiv | 2016 |
| tu08cvpr | Auto-context and Its Application to High-level Vision Tasks | cvpr | 2008 |
| tu10pami | Auto-context and Its Application to High-level Vision Tasks and 3D Brain Image Segmentation | pami | 2010 |
| uhrig2016arxiv | Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling | arxiv | 2016 |
| veeravasarapu17arxiv | Adversarially Tuned Scene Generation | arxiv | 2017 |
| vemulapalli16cvpr | Gaussian Conditional Random Field Network for Semantic Segmentation | cvpr | 2016 |
| verbeek07cvpr | Region Classification with Markov Field Aspect Models | cvpr | 2007 |
| verbeek07nips | Scene Segmentation with Conditional Random Fields Learned from Partially Labeled Images | nips | 2007 |
| vernaza16arxiv | Variational reaction-diffusion systems for semantic segmentation | arxiv | 2016 |
| vezhnevets10cvpr | Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning | cvpr | 2010 |
| vezhnevets11iccv | Weakly Supervised Semantic Segmentation with a Multi-Image Model | iccv | 2011 |
| vezhnevets12cvpr | Weakly Supervised Structured Output Learning for Semantic Segmentation | cvpr | 2012 |
| visin16cvprw | ReSeg : A Recurrent Neural Network-based Model for Semantic Segmentation | cvprw | 2016 |
| volpi16igarss | Semantic Labeling of Aerial Images by Learning Class-Specific Object Proposals | igarss | 2016 |
| wang16eccv | Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks | eccv | 2016 |
| wang17arxiv | Understanding Convolution for Semantic Segmentation | arxiv | 2017 |
| wei16pami | STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation | pami | 2015 |
| wei17arxiv | Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach | arxiv | 2017 |
| weijer07iccv | Using High-Level Visual Information for Color Constancy | iccv | 2007 |
| wen16arxiv | Training Bit Fully Convolutional Network for Fast Semantic Segmentation | arxiv | 2016 |
| wong17arxiv | SegICP: Integrated Deep Semantic Segmentation and Pose Estimation | arxiv | 2017 |
| wu16arxiv | Bridging Category-level and Instance-level Semantic Image Segmentation | arxiv | 2016 |
| wu16arxiv | High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks | arxiv | 2016 |
| xia12eccv | Segmentation over Detection by Coupled Global and Local Sparse Representations | eccv | 2012 |
| xiaodan15arxiv | Proposal-free Network for Instance-level Object Segmentation | arxiv | 2015 |
| xie17arxiv | Adversarial Examples for Semantic Segmentation and Object Detection | arxiv | 2017 |
| xu14cvpr | Tell Me What You See and I Will Show You Where It Is | cvpr | 2014 |
| xu15cvpr | Learning to Segment Under Various Forms of Weak Supervision | cvpr | 2015 |
| yan16arxiv | Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation | arxiv | 2016 |
| yang07cvpr | Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches. | cvpr | 2007 |
| yang14cvpr | Context Driven Scene Parsing with Attention to Rare Classes | cvpr | 2014 |
| yao12cvpr | Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmentation | cvpr | 2012 |
| yu16iclr | Multi-Scale Context Aggregation by Dilated Convolutions | iclr | 2016 |
| yu16isvc | Rare Class Oriented Scene Labeling Using CNN Incorporated Label Transfer | isvc | 2016 |
| zhang14tm | Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation | tm | 2014 |
| zhang15cvpr | Weakly Supervised Semantic Segmentation for Social Images | cvpr | 2015 |
| zhang15icra | Sensor fusion for semantic segmentation of urban scenes | icra | 2015 |
| zhang16arxiv | Instance-Level Segmentation with Deep Densely Connected MRFs | arxiv | 2016 |
| zhang16arxiv | Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks | arxiv | 2016 |
| zhao16arxiv | Better Image Segmentation by Exploiting Dense Semantic Predictions | arxiv | 2016 |
| zhao17arxiv | A deep learning model integrating FCNNs and CRFs for brain tumor segmentation | arxiv | 2017 |
| zhao17arxiv | Open Vocabulary Scene Parsing | arxiv | 2017 |
| zheng15iccv | Conditional Random Fields as Recurrent Neural Networks | iccv | 2015 |
| zhou16arxiv | Semantic Understanding of Scenes through the ADE20K Dataset | arxiv | 2016 |