fendaq / semanticsegpapercollection

SemanticSegPaperCollection

Surver or Review

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

Survey of Recent Progress in Semantic Image Segmentation with CNNs 2018 [paper]

2013

Learning Hierarchical Features for Scene Labeling [paper]

2014

(DeepLab V1) Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs [iclr2015 paper]

Material Recognition in the Wild with the Materials in Context Database [paper]

Predicting Depth Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture [paper]

2015

(FCN) Fully Convolutional Networks for Semantic Segmentation CVPR [paper]

"the first work on FCN for semantic segmentation", "VOC 2012: 62.2 mAP"

Semantic Image Segmentation via Deep Parsing Network [paper]

Feedforward Semantic Segmentation with Zoom-out Features [paper]

Weakly and Semi-supervised Learning of a DCNN for Semantic Image Segmentation [paper]

Fully Connected Deep Structured Networks [paper]

Conditional Random Fields as Recurrent Neural Networks [paper]

SegNet A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-wise Labelling [paper]

SegNet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation [paper]

"VOC 2012: 59.9 mAP"

Bayesian SegNet Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding [paper]

Conditional Random Fields as Recurrent Neural Networks [paper]

Multi-scale Context Aggregation by Dilated Convolutions [paper]

"VOC 2012: 75.3 mAP"

ParseNet Looking Wider to See Better [paper]

Hypercolumns for Object Segmentation and Fine-grained Localization [paper]

BoxSup Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation ICCV 2015 [paper]

Monocular Object Instance Segmentation and Depth Ordering with CNNs ICCV 2015 [paper]

2016

(DeepLab V2) DeepLab Semantic Image Segmentation with Deep Convolutional Nets Atrous Convolution and Fully Connected CRFs [pami paper]

"VOC 2012: 79.7 mAP"

ENet A Deep Neural Network Architecture for Real-Time Semantic Segmentation [paper]

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes [paper] [theano code]

Bridging Category-level and Instance-level Semantic Image Segmentation [paper]

Semantic Image Segmentation with Task-specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform [paper]

The One Hundred Layers Tiramisu Fully Convolutional DenseNets for Semantic Segmentation [paper] [Keras code] [Theano code]

Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation [paper]

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation [paper] [matconvnet code]

Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs 2016 [paper]

Gaussian Conditional Random Field Network for Semantic Segmentation [paper]

MultiNet Real-time Joint Semantic Reasoning for Autonomous Driving 2016 [paper]

Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling 2016 [paper]

Bottom-up Instance Segmentation Using Deep Higher-order CRFs BMVC 2016 [paper]

ScribbleSup Scribble-supervised Convolutional Networks for Semantic Segmentation CVPR 2016 [paper]

Instance-aware Semantic Segmentation via Multi-task Network Cascades CVPR 2016 [paper]

Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation CVPR 2016 [paper]

Deep Interactive Object Selection CVPR 2016 [paper]

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation [paper]

"VOC 2012: 84.2 mAP"

Pyramid Scene Parsing Network [paper]

"VOC 2012: 85.4 mAP"

Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation CVPR 2016 [paper]

2017

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

"VOC 2012: 82.2 mAP"

A Review on Deep Learning Techniques Applied to Semantic Segmentation [paper]

Superpixel-based Semantic Segmentation Trained by Statistical Process Control [paper]

Universal Adversarial Perturbations Against Semantic Image Segmentation [paper]

(DeepLab V3) Rethinking Atrous Convolution for Semantic Image Segmentation [paper]

"VOC 2012: 85.7"

Residual Conv-Deconv Grid Network for Semantic Segmentation [paper]

Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation

Exploring Context with Deep Structured models for Semantic Segmentation [paper]

Face Parsing via Recurrent Propagation [paper]

The Devil is in the Decoder [paper]

Learning Affinity via Spatial Propagation Networks [paper]

Convolutional Random Walk Networks for Semantic Image Segmentation [paper]

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation [paper]

Video Object Segmentation with Re-identification [paper]

Deep Learning Markov Random Field for Semantic Segmentation [paper]

Learning to Segment Instances in Videos with Spatial Propagation Network [paper] [code]

TernausNet U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation [paper]

Understanding Convolution for Semantic Segmentation [paper]

"Figure 5. Effectiveness of HDC (Hybrid Dilated Convolution) in eliminating the gridding effect."

Universal Adversarial Perturbations Against Semantic Image Segmentation [paper]

Stacked Deconvolutional Network for Semantic Segmentation [paper]

End-to-end Semantic Face Segmentation with Conditional Random Fields as Convolutional Recurrent and Adversarial Networks [paper]

Densely Connected Deconvolutional Network for Semantic Segmentation [paper]

Gated Feedback Refinement Network for Dense Image Labeling [paper] [code]

Pixel Deconvolutional Networks 2017 [paper]

MaskLab Instance Segmentation by Refining Object Detection with Semantic and Direction Features 2018 [paper]

Object Region Mining With Adversarial Erasing A Simple Classification to Semantic Segmentation Approach CVPR 2017 [paper]

Pixelwise Instance Segmentation with a Dynamically Instantiated Network CVPR 2017 [paper]

Mask R-CNN ICCV 2017 [paper]

Fully Convolutional Instance-aware Semantic Segmentation CVPR 2017 [paper]

Deep Watershed Transform for Instance Segmentation CVPR 2017 [paper]

"combination of watershed and neural networks"

Semantic Instance Segmentation with a Discriminative Loss Function CVPRW 2017 [paper]

InstanceCut: from Edges to Instances with MultiCut CVPR 2017 [paper]

SGN Sequential Grouping Networks for Instance Segmentation ICCV 2017 [paper]

STC A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation TPAMI 2017 [paper]

Exploiting Saliency for Object Segmentation From Image Level Labels CVPR 2017 [paper]

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation BMVC 2017 [paper]

Deep GrabCut for Object Selection BMVC 2017 [paper]

Learning Video Object Segmentation from Static Images CVPR 2017 [paper]

Simple Does It Weakly Supervised Instance and Semantic Segmentation CVPR 2017 [paper]

Pixelwise Instance Segmentation with a Dynamically Instantiated Network CVPR 2017 [paper]

Online Video Object Segmentation via Convolutional Trident Network CVPR 2017 [paper]

Regional Interactive Image Segmentation Networks ICCV 2017 [paper]

2018

(DeepLab V3+) Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation ECCV 2018 [paper]

Path Aggregation Network for Instance Segmentation [paper]

ExFuse: Enhancing Feature Fusion for Semantic Segmentation ECCV 2018 [paper]

Context Encoding for Semantic Segmentation [paper]

Progressive Refinement a Method of Coarse-to-fine Image Parsing Using Stacked Network [paper]

ContextNet Exploring Context and Detail for Semantic Segmentation in Real-time 2018 [paper]

Revisiting Dilated Convolution A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation 2018 [paepr]

Convolutional CRFs for Semantic Segmentation 2018 [paper] [code]

The Lovász-Softmax Loss A Tractable Surrogate for the Optimization of the Intersection-over-union Measure in Neural Networks 2018 [code]

Panoptic Segmentation 2018 [paper]

"introduction of panoptic segmentation"

Deep Extreme Cut From Extreme Points to Object Segmentation CVPR 2018 [paper]

Deep Object Co-Segmentation [paper]

Guide Me: Interacting with Deep Networks [paper]

Interactive Image Segmentation with Latent Diversity CVPR 2018 [paper]

Weakly Supervised Instance Segmentation Using Class Peak Response CVPR 2018 [paper]

Deep Object Co-Segmentation [paper]

A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation 2018 [paper]

Iteratively Trained Interactive Segmentation [paper]

SeedNet Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018 [paper]

Semi-convolutional Operators for Instance Segmentation ECCV 2018 [paper]

Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation ECCV 2018 [paper]

Learning to Segment via Cut-and-Paste ECCV 2018 [paper]

Weakly- and Semi-Supervised Panoptic Segmentation ECCV 2018 [paper]

End-to-End Joint Semantic Segmentation of Actors and Actions in Video ECCV 2018 [paper]

Depth-aware CNN for RGB-D Segmentation [paper]

Unsupervised Video Object Segmentation with Motion-based Bilateral Networks [paper]

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [paper]

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation ECCV 2018 [paper]

(DFN) Learning a Discriminative Feature Network for Semantic Segmentation CVPR 2018 [paper]

"Smooth Network for intra-class inconsistency using global pooling layer at the end of encoder, and Border Network for inter-class indistinction using focal loss as boundary loss", "deep supervision in both Smooth and Border Networks", "similarly in stacked hourglass networks, skip connection with tranformation including (Refinement Residual Block, proposed in RefineNet) RRB and (Channel Attention Block, proposed in SENet) CAB is used in this paper", "this paper combines many known tricks"

Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation [paper]

Leveraging Motion Priors in Videos for Improving Human Segmentation [paper]

Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection [paper]

Efficient Uncertainty Estimation for Semantic Segmentation in Videos [paper]

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model [paper]

ICNet for Real-Time Semantic Segmentation on High-Resolution Images [paper]

Adaptive Affinity Fields for Semantic Segmentation [paper]

Video Object Segmentation by Learning Location-Sensitive Embeddings [paper]

Multi-Scale Context Intertwining for Semantic Segmentation [paper]

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation [paper]

Affinity Derivation and Graph Merge for Instance Segmentation [paper]

Bayesian Semantic Instance Segmentation in Open Set World [paper]

Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation [paper]

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation [paper]

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation [paper]

Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network 2018 [paper]

"JSIS-Net"

Semantic Soft Segmentation TOG 2018 [paper] [project]

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NIPS 2018 [paper]

"Liang-Chieh Chen's new work on NAS and Dense Image Prediction, including scene parsing, person-part segmentation and semantic image segmentation"

MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 [paper]