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Semantic Image Segmentation: Two Decades of Research
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inferredcites →https://doi.org/10.1002/mrm.26841openalex-snapshot
Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
inferredcites →https://doi.org/10.1007/11744023_27openalex-snapshot
Learning and Incorporating Top-Down Cues in Image Segmentation
inferredcites →https://doi.org/10.1007/11744023_35openalex-snapshot
Smooth Image Segmentation by Nonparametric Bayesian Inference
inferredcites →https://doi.org/10.1007/11949619_8openalex-snapshot
Single-Histogram Class Models for Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-00934-2_10openalex-snapshot
Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task
inferredcites →https://doi.org/10.1007/978-3-030-00934-2_86openalex-snapshot
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-00937-3_84openalex-snapshot
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_18openalex-snapshot
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_25openalex-snapshot
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_10openalex-snapshot
Open Set Domain Adaptation by Backpropagation
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_26openalex-snapshot
Unified Perceptual Parsing for Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01228-1_32openalex-snapshot
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_35openalex-snapshot
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-snapshot
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01237-3_9openalex-snapshot
Partial Adversarial Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_17openalex-snapshot
PSANet: Point-wise Spatial Attention Network for Scene Parsing
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_23openalex-snapshot
Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_6openalex-snapshot
Semi-convolutional Operators for Instance Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01249-6_15openalex-snapshot
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_20openalex-snapshot
BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_42openalex-snapshot
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
inferredcites →https://doi.org/10.1007/978-3-030-01267-0_4openalex-snapshot
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss
inferredcites →https://doi.org/10.1007/978-3-030-01267-0_7openalex-snapshot
Weakly- and Semi-supervised Panoptic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_31openalex-snapshot
On Regularized Losses for Weakly-supervised CNN Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-01270-0_36openalex-snapshot
Domain Transfer Through Deep Activation Matching
inferredcites →https://doi.org/10.1007/978-3-030-20893-6_29openalex-snapshot
Artistic Object Recognition by Unsupervised Style Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-28954-6_15openalex-snapshot
Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-30642-7_26openalex-snapshot
Towards Multi-source Adaptive Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-45529-3openalex-snapshot
Domain Adaptation in Computer Vision with Deep Learning
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_17openalex-snapshot
Conditional Convolutions for Instance Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58523-5_38openalex-snapshot
SOLO: Segmenting Objects by Locations
inferredcites →https://doi.org/10.1007/978-3-030-58536-5_21openalex-snapshot
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58539-6_11openalex-snapshot
Object-Contextual Representations for Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58539-6_45openalex-snapshot
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58542-6_5openalex-snapshot
Learning to Optimize Domain Specific Normalization for Domain Generalization
inferredcites →https://doi.org/10.1007/978-3-030-58545-7_10openalex-snapshot
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
inferredcites →https://doi.org/10.1007/978-3-030-58545-7_18openalex-snapshot
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
inferredcites →https://doi.org/10.1007/978-3-030-58548-8_7openalex-snapshot
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58555-6_34openalex-snapshot
Learning to Detect Open Classes for Universal Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58555-6_42openalex-snapshot
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58558-7_46openalex-snapshot
Semi-supervised Semantic Segmentation via Strong-Weak Dual-Branch Network
inferredcites →https://doi.org/10.1007/978-3-030-58568-6_26openalex-snapshot
Content-Consistent Matching for Domain Adaptive Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58568-6_36openalex-snapshot
Curriculum Manager for Source Selection in Multi-source Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58574-7_25openalex-snapshot
Instance Adaptive Self-training for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58574-7_44openalex-snapshot
Multi-source Open-Set Deep Adversarial Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58583-9_18openalex-snapshot
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58583-9_29openalex-snapshot
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-58601-0_32openalex-snapshot
Two-Phase Pseudo Label Densification for Self-training Based Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-60548-3_2openalex-snapshot
DAPR-Net: Domain Adaptive Predicting-Refinement Network for Retinal Vessel Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-87196-3_31openalex-snapshot
Few-Shot Domain Adaptation with Polymorphic Transformers
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_41openalex-snapshot
Exploiting Low-Rank Structure from Latent Domains for Domain Generalization
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_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_7openalex-snapshot
Segmentation from Natural Language Expressions
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_8openalex-snapshot
Semantic Object Parsing with Graph LSTM
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_32openalex-snapshot
Instance-Sensitive Fully Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_34openalex-snapshot
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_7openalex-snapshot
Playing for Data: Ground Truth from Computer Games
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_25openalex-snapshot
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_34openalex-snapshot
What’s the Point: Semantic Segmentation with Point Supervision
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_6openalex-snapshot
Augmented Feedback in Semantic Segmentation Under Image Level Supervision
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_32openalex-snapshot
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_40openalex-snapshot
Colorful Image Colorization
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_42openalex-snapshot
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-58347-1openalex-snapshot
Domain Adaptation in Computer Vision Applications
inferredcites →https://doi.org/10.1007/978-3-319-59126-1_9openalex-snapshot
Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection
inferredcites →https://doi.org/10.1007/978-3-319-66179-7_73openalex-snapshot
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
inferredcites →https://doi.org/10.1007/978-3-319-67361-5_17openalex-snapshot
Season-Invariant Semantic Segmentation with a Deep Multimodal Network
inferredcites →https://doi.org/10.1007/978-3-319-67558-9_7openalex-snapshot
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation
inferredcites →https://doi.org/10.1007/978-3-540-88682-2_16openalex-snapshot
Weakly Supervised Object Localization with Stable Segmentations
inferredcites →https://doi.org/10.1007/978-3-540-88690-7_36openalex-snapshot
Object Recognition by Integrating Multiple Image Segmentations
inferredcites →https://doi.org/10.1007/978-3-642-15939-8_35openalex-snapshot
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
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/s10462-019-09792-7openalex-snapshot
A survey of semi- and weakly supervised semantic segmentation of images
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
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/s11263-007-0109-1openalex-snapshot
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
inferredcites →https://doi.org/10.1007/s11263-008-0140-xopenalex-snapshot
Multi-Class Segmentation with Relative Location Prior
inferredcites →https://doi.org/10.1007/s11263-008-0202-0openalex-snapshot
Robust Higher Order Potentials for Enforcing Label Consistency
inferredcites →https://doi.org/10.1007/s11263-009-0245-xopenalex-snapshot
Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s11263-010-0344-8openalex-snapshot
An Efficient Approach to Semantic Segmentation
inferredcites →https://doi.org/10.1007/s11263-018-1140-0openalex-snapshot
Semantic Understanding of Scenes Through the ADE20K Dataset
inferredcites →https://doi.org/10.1007/s11263-020-01395-yopenalex-snapshot
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
inferredcites →https://doi.org/10.1007/s11263-021-01445-zopenalex-snapshot
EfficientPS: Efficient Panoptic Segmentation
inferredcites →https://doi.org/10.1007/s13735-017-0141-zopenalex-snapshot
A review of semantic segmentation using deep neural networks
inferredcites →https://doi.org/10.1016/j.isprsjprs.2019.04.015openalex-snapshot
Deep learning in remote sensing applications: A meta-analysis and review
inferredcites →https://doi.org/10.1016/j.jacr.2017.11.017openalex-snapshot
Artificial Intelligence and Radiology: What Will the Future Hold?
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.083openalex-snapshot
Deep visual domain adaptation: A survey
inferredcites →https://doi.org/10.1016/j.neucom.2021.01.126openalex-snapshot
SOSD-Net: Joint semantic object segmentation and depth estimation from monocular images
inferredcites →https://doi.org/10.1016/j.neuroimage.2019.03.026openalex-snapshot
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
inferredcites →https://doi.org/10.1016/j.patrec.2008.04.005openalex-snapshot
Semantic object classes in video: A high-definition ground truth database
inferredcites →https://doi.org/10.1016/j.robot.2018.11.002openalex-snapshot
LIDAR–camera fusion for road detection using fully convolutional neural networks
inferredcites →https://doi.org/10.1017/cbo9780511546921openalex-snapshot
Prediction, Learning, and Games
inferredcites →https://doi.org/10.1023/a:1007617005950openalex-snapshot
Unsupervised Learning by Probabilistic Latent Semantic Analysis
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1093/bioinformatics/btl242openalex-snapshot
Integrating structured biological data by Kernel Maximum Mean Discrepancy
inferredcites →https://doi.org/10.1101/845537openalex-snapshot
Unsupervised domain adaptation for the automated segmentation of neuroanatomy in MRI: a deep learning approach
inferredcites →https://doi.org/10.1109/34.1000236openalex-snapshot
Mean shift: a robust approach toward feature space analysis
inferredcites →https://doi.org/10.1109/3dv.2016.69openalex-snapshot
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/3dv.2018.00017openalex-snapshot
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
inferredcites →https://doi.org/10.1109/access.2019.2899635openalex-snapshot
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation
inferredcites →https://doi.org/10.1109/access.2019.2949697openalex-snapshot
Self-Supervised Domain Adaptation for Computer Vision Tasks
inferredcites →https://doi.org/10.1109/access.2020.2983149openalex-snapshot
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
inferredcites →https://doi.org/10.1109/cvpr.2006.305openalex-snapshot
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
inferredcites →https://doi.org/10.1109/cvpr.2007.383098openalex-snapshot
Region Classification with Markov Field Aspect Models
inferredcites →https://doi.org/10.1109/cvpr.2007.383229openalex-snapshot
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches
inferredcites →https://doi.org/10.1109/cvpr.2007.383266openalex-snapshot
Fisher Kernels on Visual Vocabularies for Image Categorization
inferredcites →https://doi.org/10.1109/cvpr.2009.5206536openalex-snapshot
Nonparametric scene parsing: Label transfer via dense scene alignment
inferredcites →https://doi.org/10.1109/cvpr.2009.5206616openalex-snapshot
Classifier grids for robust adaptive object detection
inferredcites →https://doi.org/10.1109/cvpr.2009.5206718openalex-snapshot
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
inferredcites →https://doi.org/10.1109/cvpr.2010.5540048openalex-snapshot
Harmony potentials for joint classification and segmentation
inferredcites →https://doi.org/10.1109/cvpr.2010.5540060openalex-snapshot
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
inferredcites →https://doi.org/10.1109/cvpr.2011.5995367openalex-snapshot
Piecing together the segmentation jigsaw using context
inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot
Are we ready for autonomous driving? The KITTI vision benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2014.119openalex-snapshot
The Role of Context for Object Detection and Semantic Segmentation in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2014.479openalex-snapshot
Scene Parsing with Object Instances and Occlusion Ordering
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.2015.7298642openalex-snapshot
Hypercolumns for object segmentation and fine-grained localization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298668openalex-snapshot
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298897openalex-snapshot
Towards unified depth and semantic prediction from a single image
inferredcites →https://doi.org/10.1109/cvpr.2015.7298959openalex-snapshot
Feedforward semantic segmentation with zoom-out features
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298969openalex-snapshot
Multi-instance object segmentation with occlusion handling
inferredcites →https://doi.org/10.1109/cvpr.2015.7298977openalex-snapshot
Scene labeling with LSTM recurrent neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7299002openalex-snapshot
Learning to segment under various forms of weak supervision
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.344openalex-snapshot
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.349openalex-snapshot
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot
The Cityscapes Dataset for Semantic Urban Scene Understanding
inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.396openalex-snapshot
Attention to Scale: Scale-Aware Semantic Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.485openalex-snapshot
Improving the Robustness of Deep Neural Networks via Stability Training
inferredcites →https://doi.org/10.1109/cvpr.2016.79openalex-snapshot
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
inferredcites →https://doi.org/10.1109/cvpr.2017.100openalex-snapshot
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.17openalex-snapshot
Universal Adversarial Perturbations
inferredcites →https://doi.org/10.1109/cvpr.2017.18openalex-snapshot
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.181openalex-snapshot
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.185openalex-snapshot
Webly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.239openalex-snapshot
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
inferredcites →https://doi.org/10.1109/cvpr.2017.315openalex-snapshot
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2017.353openalex-snapshot
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
inferredcites →https://doi.org/10.1109/cvpr.2017.39openalex-snapshot
End-to-End Instance Segmentation with Recurrent Attention
inferredcites →https://doi.org/10.1109/cvpr.2017.472openalex-snapshot
Fully Convolutional Instance-Aware Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.549openalex-snapshot
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.631openalex-snapshot
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.749openalex-snapshot
Loss Max-Pooling for Semantic Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.770openalex-snapshot
Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.774openalex-snapshot
InstanceCut: From Edges to Instances with MultiCut
inferredcites →https://doi.org/10.1109/cvpr.2018.00077openalex-snapshot
PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
inferredcites →https://doi.org/10.1109/cvpr.2018.00132openalex-snapshot
COCO-Stuff: Thing and Stuff Classes in Context
inferredcites →https://doi.org/10.1109/cvpr.2018.00142openalex-snapshot
MAttNet: Modular Attention Network for Referring Expression Comprehension
inferredcites →https://doi.org/10.1109/cvpr.2018.00145openalex-snapshot
Conditional Generative Adversarial Network for Structured Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00147openalex-snapshot
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
inferredcites →https://doi.org/10.1109/cvpr.2018.00148openalex-snapshot
Bootstrapping the Performance of Webly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00388openalex-snapshot
DenseASPP for Semantic Segmentation in Street Scenes
inferredcites →https://doi.org/10.1109/cvpr.2018.00392openalex-snapshot
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00395openalex-snapshot
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00422openalex-snapshot
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
inferredcites →https://doi.org/10.1109/cvpr.2018.00464openalex-snapshot
The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00473openalex-snapshot
Image to Image Translation for Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2018.00523openalex-snapshot
Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00566openalex-snapshot
Domain Generalization with Adversarial Feature Learning
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Referring Image Segmentation via Recurrent Refinement Networks
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Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing
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Learning to Adapt Structured Output Space for Semantic Segmentation
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ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
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Importance Weighted Adversarial Nets for Partial Domain Adaptation
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Path Aggregation Network for Instance Segmentation
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CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency
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Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
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All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
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Domain Generalization by Solving Jigsaw Puzzles
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Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks
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Semantic Image Synthesis With Spatially-Adaptive Normalization
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DLOW: Domain Flow for Adaptation and Generalization
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Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr.2019.00310openalex-snapshot
Learning to Transfer Examples for Partial Domain Adaptation
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Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
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Dual Attention Network for Scene Segmentation
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FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
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Deep High-Resolution Representation Learning for Human Pose Estimation
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An End-To-End Network for Panoptic Segmentation
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Panoptic Feature Pyramid Networks
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Bidirectional Learning for Domain Adaptation of Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00719openalex-snapshot
Attention-Guided Unified Network for Panoptic Segmentation
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Adaptive Pyramid Context Network for Semantic Segmentation
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Depth-Attentional Features for Single-Image Rain Removal
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UPSNet: A Unified Panoptic Segmentation Network
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Probabilistic graphical models and deep learning methods for remote sensing image analysis
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