- Semantic Segmentation
- 2D Medical Segmentation
- 3D Medical Segmentation
- Instance Segmentation
- Panoptic Segmentation
- Video Segmentation
- CVPR2019
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation[Tensorflow][Pytorch]
- Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images[oral]
- Bidirectional Learning for Domain Adaptation of Semantic Segmentation(Apr 2019)[Pytoch]
- DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation
- Seamless Scene Segmentation
- Bidirectional Learning for Domain Adaptation of Semantic Segmentation(Apr 2019)[Code]
- Dual Attention Network for Scene Segmentation(Sep 2018)[Pytorch]
- Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
- In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images(Mar 2019))[Pytroch]
- Structured Knowledge Distillation for Semantic Segmentation(Mar 2019)
- Knowledge Adaptation for Efficient Semantic Segmentation(Mar 2019)
- Cross-Modal Self-Attention Network for Referring Image Segmentation(Apr 2019)
- Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
- CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
- FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
- A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
- Large-scale interactive object segmentation with human annotators
- ICIP2019
- other
- Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images(May 2019)
- Simultaneous Object Detection and Semantic Segmentation
- Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
- EdgeSegNet: A Compact Network for Semantic Segmentation(May 2019)
- SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
- Segmenting the Future(Apr 2019)[Code]
- CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing(Apr 2019)
- ACE: Adapting to Changing Environments for Semantic Segmentation(Apr 2019)
- FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation(Mar 2019)[Pytorch]
- Architecture Search of Dynamic Cells for Semantic Video Segmentation(Apr 2019)
- Template-Based Automatic Search of Compact Semantic Segmentation Architectures(Apr 2019)
- DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation(Apr 2019)
- DADA: Depth-aware Domain Adaptation in Semantic Segmentation(Apr 2019)
- GFF: Gated Fully Fusion for Semantic Segmentation(Apr 2019)
- MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks(Apr 2019)
- Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation(Apr 2019)
- The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation(Apr 2019)
- Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes(Apr 2019)
- The iterative convolution-thresholding method (ICTM) for image segmentation(Apr 2019)
- Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields( Apr 2019)
-
CVPR 2018
- Context Encoding for Semantic Segmentation(Mar 2018)
- DenseASPP for Semantic Segmentation in StreetScenes
- PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing(May 2018)
- Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation
- Learning a Discriminative Feature Network for Semantic Segmentation
- Guided Proofreading of Automatic Segmentations for Connectomics
- Recurrent Scene Parsing with Perspective Understanding in the Loop
- Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
- icient interactive annotation of segmentation datasets with polygon rnn++
- Compassionately Conservative Balanced Cuts for Image Segmentation
- Dynamic-structured Semantic Propagation Network
- In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
- Error Correction for Dense Semantic Image Labeling
- Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
- On the Importance of Label Quality for Semantic Segmentation
- Referring Image Segmentation via Recurrent Refinement Networks[Code]
- Learning Superpixels with Segmentation-Aware Affinity Loss
- Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
- Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
- Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation
- Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing
- Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
- Bootstrapping the Performance of Webly Supervised Semantic Segmentation
- Normalized Cut Loss for Weakly-Supervised CNN Segmentation
- Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
- Weakly Supervised Instance Segmentation Using Class Peak Response
-
ECCV 2018
- BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation(Aug 2018)
- ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation(Mar 2018 )[Pytorch]
- PSANet: Point-wise Spatial Attention Network for Scene Parsing
- ICNet for Real-Time Semantic Segmentation on High-Resolution Images(Apr 2017)[Pytorch]
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation(Feb 2018)
- Adaptive Affinity Fields for Semantic Segmentation(Mar 2018)
- ExFuse: Enhancing Feature Fusion for Semantic Segmentation(Apr 2018)
- Unified Perceptual Parsing for Scene Understanding(Jul 2018)
- Multi-Scale Context Intertwining for Semantic Segmentation
-
NeurIPS 2018
-
AAAI 2018
- Spatial As Deep: Spatial CNN for Traffic Scene Understanding(Dec 2017)
- Mix-and-Match Tuning for Self-Supervised Semantic Segmentation(Dec 2017)
- Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
- A^2-Nets: Double Attention Networks
- Symbolic Graph Reasoning Meets Convolutions
- Beyond Grids: Learning Graph Representations for Visual Recognition
-
IJCAI 2018
-
Othes
- [RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation][ICPR]
- CCNet: Criss-Cross Attention for Semantic Segmentation(Nov 2018)[Pytorch]
- OCNet: Object Context Network for Scene Parsing(Sep 2018)[Pytorch]
- CGNet: A Light-weight Context Guided Network for Semantic Segmentation(Nov 2018)[Pytorch]
- ShelfNet for Real-time Semantic Segmentation, Multi-path segmentation network(Nov 2018)[Pytorch]
- Evaluating Bayesian Deep Learning Methods for Semantic Segmentation(Nov 2018)
- Improving Semantic Segmentation via Video Propagation and Label RelaxationCode
- Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation(Mar 2018)
- Locally Adaptive Learning Loss for Semantic Image Segmentation(Feb 2018)
- RTSeg: Real-time Semantic Segmentation Comparative Study( Mar 2018)
-
CVPR 2017
- Pyramid Scene Parsing Network(Dec 2016)
- Dilated Residual Networks(Jun 2016)
- Convolutional RandomWalk Networks for Semantic Image Segmentation(May 2016)
- Loss Max-Pooling for Semantic Image Segmentation(Apr 2017)
- Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes(Nov 2016)
- Gated Feedback Refinement Network for Dense Image Labeling
- Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
- Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
- Learning Adaptive Receptive Fields for Deep Image Parsing Network
- The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation[Workshop]
-
ICCV 2017
- Segmentation-Aware Convolutional Networks Using Local Attention Mask(Mar 2017)
- Predicting Deeper into the Future of Semantic Segmentation(Mar 2017)
- FoveaNet: Perspective-aware Urban Scene Parsing(Aug 2017))
- Dense and Low-Rank Gaussian CRFs Using Deep Embeddings Siddhartha
- Scale-adaptive Convolutions for Scene Parsing
- Deep Dual Learning for Semantic Image Segmentation
- Semi Supervised Semantic Segmentation Using Generative Adversarial Network
-
NIPS 2017
-
Others
- CVPR 2016
- ECCV 2016
- ICLR 2016
- NIPS Workshop
- others
- ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation(Jun 2016)
- High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks(Apr 2016)
- PixelNet: Towards a General Pixel-level Architecture(Sep 2016))
- MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving(Dec 2016)
- CVPR 2015
- Fully Convolutional Networks for Semantic Segmentation(Nov 2014)
- Feedforward semantic segmentation with zoom-out features(Dec 2014)
- Learning to Propose Objects[Project][Pytorch]
- Hypercolumns for Object Segmentation and Fine-grained Localization
- Scene Labeling with LSTM Recurrent Neural Networks
- Weakly supervised semantic segmentation for social images
- ICCV 2015
- Other
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs(Dec 2014[ICLR][DeepLabv1]
- U-Net: Convolutional Networks for Biomedical Image Segmentation(May 2015)[MICCAI]
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation(Nov 2015)
- Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation[NIPS]
- paper
-
CVPR 2019
-
AAAI 2019
-
ISBI2019
- A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation(Oct 2018)[Keras]
- Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks(Apr 2019)
- Automatic Pulmonary Lobe Segmentation Using Deep Learning(Mar 2019)
- Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI(March 2019)
- US-net for robust and efficient nuclei instance segmentation(Jan 2019)
- Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation
- Mask-RCNN and U-net Ensembled for Nuclei Segmentation(Jan 2019)
- Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
- U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
- SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes
- Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images
- Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
- Residual Pyramid FCN for Robust Follicle Segmentation
- Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural(Net Apr 2019)[oral]
-
EMBC 2019
-
MIDI 2019
-
SCI
- Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net(Apr 2019))[IEEE Transactions on Medical Imaging,TMI]
- CE-Net: Context Encoder Network for 2D Medical Image Segmentation(Mar 2019)[Pytorch][Pytorch2][IEEE Transactions on Medical Imaging,TMI]
- The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning[IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE]
- Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation[IEEE Transactions on Medical Imaging,TMI]
-
other
- iRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading(May 2019)
- Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function(May 2019)
- T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
- Breast Tumor Classification and Segmentation using Convolutional Neural Networks(May 2019)
- nnU-Net: Breaking the Spell on Successful Medical Image Segmentation(Apr 2019)[Code]
- Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation(Mar 2019)
- MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation(Dec 2018)
- Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN(Apr 2019)
- FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI( Apr 2019)
- FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation(https://arxiv.org/abs/1902.03091)
- Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
- IPMI 2018
- other
- IPMI
- ISBI2019
- arxiv
- 3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles(Mar 2019)
- Thickened 2D Networks for 3D Medical Image Segmentation(Apr 2019)
- Spherical U-Net on Cortical Surfaces: Methods and Applications(Apr 2019)
- 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI(Apr 2019)
- Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations
- Paper
- 3D Patchwise U-Net with Transition Layers for MR Brain Segmentation(Rank 1)[TensorFlow]
- MixNet: Multi-modality Mix Network for Brain Segmentation(Rank3)[tensorflow]
- Robust 3D Convolutional Neural Network with Boundary Correction for Accurate Brain Tissue Segmentation(Rank3)[Keras]
- Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net(Rank9)
- On direct distribution matching for adapting segmentation networks(Apr 2019)[Code]
- Paper
- Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation(Jan 2019)[ISBI2019]
- Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET(Jan 2019)
- Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions(Dec 2018)
- A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols(Nov 2018)
- Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation(Nov 2018)[NeuroImage]
- Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation((Aug 2018)[MICCAI 2018]
- CVPR 2019
- other
- CVPR2019
- other
- DeeperLab: Single-Shot Image Parser(Feb 2019)[[Code]]
- An End-to-End Network for Panoptic Segmentation(Mar 2019
- Single Network Panoptic Segmentation for Street Scene Understanding
- Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network(Feb 2019)
- Detecting Reflections by Combining Semantic and Instance Segmentation(Apr 2019)
- PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things(March 2019)
- Class-independent sequential full image segmentation, using a convolutional net that finds a segment within an attention region, given a pointer pixel within this segment(February 2019
- ECCV2018
- CVPR 2019
- other
- Exploring Randomly Wired Neural Networks
- CVPR 2019
- ICML 2019
- arXiv
- ISBNet: Instance-aware Selective Branching Network
- Convolutional neural networks with fractional order gradient method(May 2019)
- Searching for MobileNetV3[Pytorch]
- High Frequency Residual Learning for Multi-Scale Image Classification
- Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
- TextCaps: Handwritten Character Recognition With Very Small Datasets(Apr 2019)[Keras][WACV]
- Self-Attention Capsule Networks for Image Classification
- Analytical Moment Regularizer for Gaussian Robust Networks(Apr 2019)[Pytorch]
- Deep Sparse Representation-based Classification(Apr 2019)[Code]
- GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond(Apr 2019)[Pytorch]
- DenseNet Models for Tiny ImageNet Classification(Apr 2019)
- Deep Anchored Convolutional Neural Networks(Apr 2019)
- Stochastic Region Pooling: Make Attention More Expressive(Apr 2019)
- Attention Augmented Convolutional Networks(Apr 2019)
- High-Resolution Representations for Labeling Pixels and Regions(Apr 2019)
- Deep High-Resolution Representation Learning for Human Pose Estimation(Apr 2019)[Pytorch]
- Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution( Apr 2019)[Pytorch]
- Convolutional Neural Networks with Layer Reuse
- Generalizing discrete convolutions for unstructured point clouds(Apr 2019)[Pytorch]
- Hybrid Cosine Based Convolutional Neural Networks(Apr 2019)
- Res2Net: A New Multi-scale Backbone Architecture(Apr 2019)
- G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features(Apr 2019)
- ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification(Apr 2019)
- A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids(Apr 2019)
- Compressing deep neural networks by matrix product operators(Apr 2019)
- Local Relation Networks for Image Recognition( Apr 2019)
- 3D
- Medical
- Arxiv
- Medical
- CVPR 2017
- MICCAI 2017
- arxiv
- Robust, fast and accurate: a 3-step method for automatic histological image registration(Mar 2019)
- 3DRegNet: A Deep Neural Network for 3D Point Registration( Apr 2019)
- Non-Rigid Point Set Registration Networks(Apr 2019)[Pytorch]
- Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm(Apr 2019)
- Palmprint image registration using convolutional neural networks and Hough transform(Apr 2019)
- 2019
-
Brain Tissue Segmentation
-
MS Lesion Segmentation
-
Multimodal Brain Tumor Segmentation
-
Ischemic Stroke Lesion Segmentation
-
White Matter Hyperintensities
-
EM segmentation challenge
MICCAI
Submission Deadline:2018-03-02
Accept/Reject Notification:
ISBI
Submission Deadline:Oct 16, 2018
Accept/Reject Notification:Dec 18, 2018
IPMI
Submission Deadline:13 December 2018
Accept/Reject Notification:25 February 2019
EMBC[CCF C]
Submission Deadline:February 19, 2019
Accept/Reject Notification:April 12, 2019
BIBM2019[CCF B]
Submission Deadline: Aug 17, 2019
Accept/Reject Notification:Oct 1, 2019
ICASSP[CCF B]
Submission Deadline:October 29
Accept/Reject Notification:February 1
MIDL
Submission Deadline:17 December 2018
Accept/Reject Notification:27 February 2019
Medical Image Analysis,MIA
IEEE Transactions on Medical Imaging,TMI
CVPR
Submission Deadline:2018-11-16
Accept/Reject Notification: 2019-03-02
ECCV
Submission Deadline:2018-03-14
Accept/Reject Notification:2018-07-01
ICCV
Submission Deadline:2019-03-15
Accept/Reject Notification2019-06-07
ICML
Submission Deadline:2019-01-18
ICLR
Submission Deadline:2018-09-27
AAAI
Submission Deadline:2018-08-30
Accept/Reject Notification:2018-11-01
NeurIPS
Submission Deadline:May 23, 2019
Accept/Reject Notification: Dec 2 - Dec 8, 2019
IJCAI
Submission Deadline:2019-02-25
Accept/Reject Notification: 2019-05-09