语义分割 - Semantic Segmentation Papers

Semantic Segmentation

Dynamic-structured Semantic Propagation Network - 2018 - CMU [Paper]

ShuffleSeg: Real-time Semantic Segmentation Network-2018 [Paper] [Code-TensorFlow]

RTSeg: Real-time Semantic Segmentation Comparative Study - 2018 [Paper] [Code-TensorFlow]

Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation - 2018 [Paper]

DeepLabV3+:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation - 2018 - Google [Paper] [Code-Tensorflow]

Adversarial Learning for Semi-Supervised Semantic Segmentation - 2018 [Paper] [Code-PyTorch]

Locally Adaptive Learning Loss for Semantic Image Segmentation - 2018 [Paper]

Learning to Adapt Structured Output Space for Semantic Segmentation - 2018 [Paper]

Improved Image Segmentation via Cost Minimization of Multiple Hypotheses - 2018 [Paper] [Code-Matlab]

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation - 2018 - Kaggle [Paper] [Code-PyTorch] [Kaggle-Carvana Image Masking Challenge]

Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation - 2018 - Google [Paper]

End-to-end Detection-Segmentation Network With ROI Convolution - 2018 [Paper]

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation - AAAI2018 [Project] [Paper] [Code-Caffe]

Learning to Segment Every Thing-2017 [Paper] [Code-Caffe2]

Deep Dual Learning for Semantic Image Segmentation-2017 [Paper]

Scene Parsing with Global Context Embedding - 2017 - ICCV [Paper]

FoveaNet: Perspective-aware Urban Scene Parsing - 2017 - ICCV [Paper]

Segmentation-Aware Convolutional Networks Using Local Attention Masks - 2017 [Paper] [Code-Caffe] [Project]

Stacked Deconvolutional Network for Semantic Segmentation-2017 [Paper]

BlitzNet: A Real-Time Deep Network for Scene Understanding-2017 [Project] [Code-Tensorflow] [Paper]

Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation -2017 [Paper] [Code-Caffe]

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation - 2017 [Paper] [Code-Torch]

Rethinking Atrous Convolution for Semantic Image Segmentation-2017(DeeplabV3) [Paper]

Learning Object Interactions and Descriptions for Semantic Image Segmentation-2017 [Paper]

Pixel Deconvolutional Networks-2017 [Code-Tensorflow] [Paper]

Dilated Residual Networks-2017 [Paper] [Code-PyTorch]

Recurrent Scene Parsing with Perspective Understanding in the Loop - 2017 [Project] [Paper] [Code-MatConvNet]

A Review on Deep Learning Techniques Applied to Semantic Segmentation-2017 [Paper]

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks [Paper]

Efficient ConvNet for Real-time Semantic Segmentation - 2017 [Paper]

ICNet for Real-Time Semantic Segmentation on High-Resolution Images-2017 [Project] [Code] [Paper] [Video]

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade-2017 [Paper] [Poster] [Project]

Loss Max-Pooling for Semantic Image Segmentation-2017 [Paper]

Annotating Object Instances with a Polygon-RNN-2017 [Project] [Paper]

Feature Forwarding: Exploiting Encoder Representations for Efficient Semantic Segmentation-2017 [Project] [Code-Torch7]

Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation-2017 [Paper]

Adversarial Examples for Semantic Image Segmentation-2017 [Paper]

Large Kernel Matters - Improve Semantic Segmentation by Global Convolutional Network-2017 [Paper]

Label Refinement Network for Coarse-to-Fine Semantic Segmentation-2017 [Paper]

PixelNet: Representation of the pixels, by the pixels, and for the pixels-2017 [Project] [Code-Caffe] [Paper]

LabelBank: Revisiting Global Perspectives for Semantic Segmentation-2017 [Paper]

Progressively Diffused Networks for Semantic Image Segmentation-2017 [Paper]

Understanding Convolution for Semantic Segmentation-2017 [Model-Mxnet] [Mxnet-Code] [Paper]

Predicting Deeper into the Future of Semantic Segmentation-2017 [Paper]

Pyramid Scene Parsing Network-2017 [Project] [Code-Caffe] [Paper] [Slides]

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation-2016 [Paper]

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics-2016 [Code-PyTorch] [Paper]

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation-2016 [Code-MatConvNet] [Paper]

Learning from Weak and Noisy Labels for Semantic Segmentation - 2017 [Paper]

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation [Code-Theano] [Code-Keras1] [Code-Keras2] [Paper]

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes [Code-Theano] [Paper]

PixelNet: Towards a General Pixel-level Architecture-2016 [Paper]

Recalling Holistic Information for Semantic Segmentation-2016 [Paper]

Semantic Segmentation using Adversarial Networks-2016 [Paper] [Code-Chainer]

Region-based semantic segmentation with end-to-end training-2016 [Paper]

Exploring Context with Deep Structured models for Semantic Segmentation-2016 [Paper]

Better Image Segmentation by Exploiting Dense Semantic Predictions-2016 [Paper]

Boundary-aware Instance Segmentation-2016 [Paper]

Improving Fully Convolution Network for Semantic Segmentation-2016 [Paper]

Deep Structured Features for Semantic Segmentation-2016 [Paper]

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs-2016 [Project] [Code-Caffe] [Code-Tensorflow] [Code-PyTorch] [Paper]

DeepLab: Semantic Image Segmentation With Deep Convolutional Nets and Fully Connected CRFs-2014 [Code-Caffe1] [Code-Caffe2] [Paper]

Deep Learning Markov Random Field for Semantic Segmentation-2016 [Project] [Paper]

Convolutional Random Walk Networks for Semantic Image Segmentation-2016 [Paper]

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation-2016 [Code-Caffe1][Code-Caffe2] [Paper] [Blog]

High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks-2016 [Paper]

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation-2016 [Paper]

Object Boundary Guided Semantic Segmentation-2016 [Code-Caffe] [Paper]

Segmentation from Natural Language Expressions-2016 [Project] [Code-Tensorflow] [Code-Caffe] [Paper]

Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation-2016 [Code-Caffe] [Paper]

Global Deconvolutional Networks for Semantic Segmentation-2016 [Paper] [Code-Caffe]

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network-2015 [Project] [Code-Caffe] [Paper]

Learning Dense Convolutional Embeddings for Semantic Segmentation-2015 [Paper]

ParseNet: Looking Wider to See Better-2015 [Code-Caffe] [Model-Caffe] [Paper]

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation-2015 [Project] [Code-Caffe] [Paper]

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation-2015 [Project] [Code-Caffe] [Paper] [Tutorial1] [Tutorial2]

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling-2015 [Code-Caffe] [Code-Chainer] [Paper]

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform-2015 [Paper]

Semantic Segmentation with Boundary Neural Fields-2015 [Code] [Paper]

Semantic Image Segmentation via Deep Parsing Network-2015 [Project] [Paper1] [Paper2] [Slides]

What’s the Point: Semantic Segmentation with Point Supervision-2015 [Project] [Code-Caffe] [Model-Caffe] [Paper]

U-Net: Convolutional Networks for Biomedical Image Segmentation-2015 [Project] [Code+Data] [Code-Keras] [Code-Tensorflow] [Paper] [Notes]

Learning Deconvolution Network for Semantic Segmentation(DeconvNet)-2015 [Project] [Code-Caffe] [Paper] [Slides]

Multi-scale Context Aggregation by Dilated Convolutions-2015 [Project] [Code-Caffe] [Code-Keras] [Paper] [Notes]

ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation-2015 [Code-Theano] [Paper]

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation-2015 [Paper]

Feedforward semantic segmentation with zoom-out features-2015 [Code] [Paper] [Video]

Conditional Random Fields as Recurrent Neural Networks-2015 [Project] [Code-Caffe1] [Code-Caffe2] [Demo] [Paper1] [Paper2]

Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation-2015 [Paper]

Fully Convolutional Networks for Semantic Segmentation-2015 [Code-Caffe] [Model-Caffe] [Code-Tensorflow1] [Code-Tensorflow2] [Code-Chainer] [Code-PyTorch] [Paper1] [Paper2] [Slides1] [Slides2]

Deep Joint Task Learning for Generic Object Extraction-2014 [Project] [Code-Caffe] [Dataset] [Paper]

Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification-2014 [Code-Caffe] [Paper]

Panoptic Segmentation

Panoptic Segmentation - 2018 [Paper]

Human Parsing

Holistic, Instance-level Human Parsing - 2017 [Paper]

Semi-Supervised Hierarchical Semantic Object Parsing - 2017 [Paper]

Towards Real World Human Parsing: Multiple-Human Parsing in the Wild - 2017 [Paper]

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing-2017 [Project] [Code-Caffe] [Paper]

Efficient and Robust Deep Networks for Semantic Segmentation - 2017 [Paper] [Project] [Code-Caffe]

Deep Learning for Human Part Discovery in Images-2016 [Code-Chainer] [Paper]

A CNN Cascade for Landmark Guided Semantic Part Segmentation-2016 [Project] [Paper]

Deep Learning for Semantic Part Segmentation With High-level Guidance-2015 [Paper]

Neural Activation Constellations-Unsupervised Part Model Discovery with Convolutional Networks-2015 [Paper]

Human Parsing with Contextualized Convolutional Neural Network-2015 [Paper]

Part detector discovery in deep convolutional neural networks-2014 [Code] [Paper]

Clothes Parsing

Looking at Outfit to Parse Clothing-2017 [Paper]

Semantic Object Parsing with Local-Global Long Short-Term Memory-2015 [Paper]

A High Performance CRF Model for Clothes Parsing-2014 [Project] [Code] [Dataset] [Paper]

Clothing co-parsing by joint image segmentation and labeling-2013 [Project] [Dataset] [Paper]

Parsing clothing in fashion photographs-2012 [Project] [Paper]

Instance Segmentation

Path Aggregation Network for Instance Segmentation - CVPR2018 [Paper]

PixelLink: Detecting Scene Text via Instance Segmentation - 2018 [Paper]

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features - 2017 - google [Paper]

Recurrent Neural Networks for Semantic Instance Segmentation-2017 [Paper]

Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 [Paper]

Semantic Instance Segmentation via Deep Metric Learning-2017 [Paper]

Mask R-CNN-2017 [Code-Tensorflow] [Paper] [Code-Caffe2]

Pose2Instance: Harnessing Keypoints for Person Instance Segmentation-2017 [Paper]

Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 [Paper]

Semantic Instance Segmentation with a Discriminative Loss Function-2017 [Paper]

Fully Convolutional Instance-aware Semantic Segmentation-2016 [Code] [Paper]

End-to-End Instance Segmentation with Recurrent Attention [Paper] [Code-Tensorflow]

Instance-aware Semantic Segmentation via Multi-task Network Cascades-2015 [Code] [Paper]

Recurrent Instance Segmentation-2015 [Project] [Code-Torch7] [Paper] [Poster] [Video]

Segment Object Candidates

FastMask: Segment Object Multi-scale Candidates in One Shot-2016 [Code-Caffe] [Paper]

Learning to Refine Object Segments-2016 [Code-Torch] [Paper]

Learning to Segment Object Candidates-2015 [Code-Torch] [Code-Theano-Keras] [Paper]

Foreground Object Segmentation

Pixel Objectness-2017 [Project] [Code-Caffe] [Paper]

A Deep Convolutional Neural Network for Background Subtraction-2017 [Paper]