语义分割 - Semantic Segmentation Papers

https://www.aiuai.cn/aifarm62.html

1. Semantic Segmentation

1. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation - 2019 - NVIDIA  
2. FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation - 2019   
3. Structured Knowledge Distillation for Semantic Segmentation - CVPR2019 
4. Co-Occurrent Features in Semantic Segmentation - CVPR2019 
5. Semantic Projection Network for Zero- and Few-Label Semantic Segmentation - CVPR2019 
6. Context-Reinforced Semantic Segmentation - CVPR2019 
7. SwiftNet - In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images - CVPR2019  
8. All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation - CVPR2019 
9. Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection - CVPR2019 
10. Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach - CVPR2019 
11. Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation - CVPR2019 
12. Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation - CVPR2019 
13. Geometry-Aware Distillation for Indoor Semantic Segmentation - CVPR2019 
14. Seamless Scene Segmentation - CVPR2019 
15. ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation - CVPR2019  
16. Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation - CVPR2019 
17. PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding - CVPR2019  
18. A Cross-Season Correspondence Dataset for Robust Semantic Segmentation - CVPR2019 
19. DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation-Megvii-2019 
20. DADA: Depth-aware Domain Adaptation in Semantic Segmentation - 2019 
21. GFF: Gated Fully Fusion for Semantic Segmentation - 2019 
22. DSNet: An Efficient CNN for Road Scene Segmentation - 2019 
23. FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference - CVPR2019 
24. An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions - 2019 
25. Fast-SCNN: Fast Semantic Segmentation Network - 2019 
26. Data augmentation using learned transforms for one-shot medical image segmentation - CVPR2019 
27. MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation - 2019 
28. CCNet: Criss-Cross Attention for Semantic Segmentation - 2018  
29. A PyTorch Semantic Segmentation Toolbox - 2018  
30. ShelfNet for Real-time Semantic Segmentation - 2018  
31. Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training - ECCV2018  
32. Searching for Efficient Multi-Scale Architectures for Dense Image Prediction - 2018 - Deeplab  
33. Light-Weight RefineNet for Real-Time Semantic Segmentation - bmvc2018  
34. Dual Attention Network for Scene Segmentation - 2018 
35. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation - ECCV 2018 - Face++  
36. Adaptive Affinity Field for Semantic Segmentation - ECCV2018  
37. Recurrent Iterative Gating Networks for Semantic Segmentation - WACV2019 
38. Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation - CVPR2018 
39. DenseASPP for Semantic Segmentation in Street Scenes - CVPR2018  
40. Pyramid Attention Network for Semantic Segmentation - 2018 - Face++ 
41. Autofocus Layer for Semantic Segmentation - 2018 
42. ExFuse: Enhancing Feature Fusion for Semantic Segmentation - ECCV2018 - Face++ 
43. DifNet: Semantic Segmentation by Diffusion Networks - 2018 
44. Convolutional CRFs for Semantic Segmentation - 2018 
45. ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time - 2018 
46. Learning a Discriminative Feature Network for Semantic Segmentation - CVPR2018 - Face++ 
47. Vortex Pooling: Improving Context Representation in Semantic Segmentation - 2018 
48. Fully Convolutional Adaptation Networks for Semantic Segmentation - CVPR2018 
49. A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation - 2018 
50. Context Encoding for Semantic Segmentation - 2018    
51. ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation - ECCV2018  
52. Dynamic-structured Semantic Propagation Network - 2018 - CMU 
53. ShuffleSeg: Real-time Semantic Segmentation Network-2018  
54. RTSeg: Real-time Semantic Segmentation Comparative Study - 2018  
55. Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation - 2018 
56. DeepLabV3+:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation - 2018 - Google  
57. Adversarial Learning for Semi-Supervised Semantic Segmentation - 2018  
58. Locally Adaptive Learning Loss for Semantic Image Segmentation - 2018 
59. Learning to Adapt Structured Output Space for Semantic Segmentation - 2018 
60. Improved Image Segmentation via Cost Minimization of Multiple Hypotheses - 2018  
61. TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation - 2018 - Kaggle   
62. Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation - 2018 - Google 
63. End-to-end Detection-Segmentation Network With ROI Convolution - 2018 
64. Mix-and-Match Tuning for Self-Supervised Semantic Segmentation - AAAI2018   
65. Learning to Segment Every Thing-2017   
66. Deep Dual Learning for Semantic Image Segmentation-2017 
67. Scene Parsing with Global Context Embedding - ICCV2017 
68. FoveaNet: Perspective-aware Urban Scene Parsing - ICCV2017 
69. Segmentation-Aware Convolutional Networks Using Local Attention Masks - 2017   
70. Stacked Deconvolutional Network for Semantic Segmentation-2017 
71. Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF - CVPR2017  
72. BlitzNet: A Real-Time Deep Network for Scene Understanding-2017   
73. Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation -2017  
74. LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation - 2017  
75. Rethinking Atrous Convolution for Semantic Image Segmentation-2017(DeeplabV3) 
76. Learning Object Interactions and Descriptions for Semantic Image Segmentation-2017 
77. Pixel Deconvolutional Networks-2017  
78. Dilated Residual Networks-2017  
79. Recurrent Scene Parsing with Perspective Understanding in the Loop - 2017   
80. A Review on Deep Learning Techniques Applied to Semantic Segmentation-2017 
81. BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks 
82. Efficient ConvNet for Real-time Semantic Segmentation - 2017 
83. ICNet for Real-Time Semantic Segmentation on High-Resolution Images-2017    
84. Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade-2017     
85. Loss Max-Pooling for Semantic Image Segmentation-2017 
86. Annotating Object Instances with a Polygon-RNN-2017  
87. Feature Forwarding: Exploiting Encoder Representations for Efficient Semantic Segmentation-2017  
88. Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation-2017 
89. Adversarial Examples for Semantic Image Segmentation-2017 
90. Large Kernel Matters - Improve Semantic Segmentation by Global Convolutional Network-2017 
91. Label Refinement Network for Coarse-to-Fine Semantic Segmentation-2017 
92. PixelNet: Representation of the pixels, by the pixels, and for the pixels-2017   
93. LabelBank: Revisiting Global Perspectives for Semantic Segmentation-2017 
94. Progressively Diffused Networks for Semantic Image Segmentation-2017 
95. Understanding Convolution for Semantic Segmentation-2017   
96. Predicting Deeper into the Future of Semantic Segmentation-2017 
97. Pyramid Scene Parsing Network-2017    
98. FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation-2016 
99. FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics-2016  
100. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation-2016  
101. Learning from Weak and Noisy Labels for Semantic Segmentation - 2017 
102. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation    
103. Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes  
104. PixelNet: Towards a General Pixel-level Architecture-2016 
105. Recalling Holistic Information for Semantic Segmentation-2016 
106. Semantic Segmentation using Adversarial Networks-2016  
107. Region-based semantic segmentation with end-to-end training-2016 
108. Exploring Context with Deep Structured models for Semantic Segmentation-2016 
109. Better Image Segmentation by Exploiting Dense Semantic Predictions-2016 
110. Boundary-aware Instance Segmentation-2016 
111. Improving Fully Convolution Network for Semantic Segmentation-2016 
112. Deep Structured Features for Semantic Segmentation-2016 
113. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs-2016     
114. DeepLab: Semantic Image Segmentation With Deep Convolutional Nets and Fully Connected CRFs-2014  
115. Deep Learning Markov Random Field for Semantic Segmentation-2016  
116. Convolutional Random Walk Networks for Semantic Image Segmentation-2016 
117. ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation-2016    
118. High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks-2016 
119. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation-2016 
120. Object Boundary Guided Semantic Segmentation-2016  
121. Segmentation from Natural Language Expressions-2016    
122. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation-2016  
123. Global Deconvolutional Networks for Semantic Segmentation-2016  
124. Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network-2015   
125. Learning Dense Convolutional Embeddings for Semantic Segmentation-2015 
126. ParseNet: Looking Wider to See Better-2015   
127. Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation-2015   
128. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation-2015     
129. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling-2015   
130. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform-2015 
131. Semantic Segmentation with Boundary Neural Fields-2015  
132. Semantic Image Segmentation via Deep Parsing Network-2015    
133. What’s the Point: Semantic Segmentation with Point Supervision-2015    
134. U-Net: Convolutional Networks for Biomedical Image Segmentation-2015      
135. Learning Deconvolution Network for Semantic Segmentation(DeconvNet)-2015    
136. Multi-scale Context Aggregation by Dilated Convolutions-2015     
137. ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation-2015  
138. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation-2015 
139. Feedforward semantic segmentation with zoom-out features-2015   
140. Conditional Random Fields as Recurrent Neural Networks-2015      
141. Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation-2015 
142. Fully Convolutional Networks for Semantic Segmentation-2015          
143. Deep Joint Task Learning for Generic Object Extraction-2014    
144. Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification-2014  

2. Panoptic Segmentation

1. UPSNet: A Unified Panoptic Segmentation Network - CVPR2019 
2. An End-to-end Network for Panoptic Segmentation - Face++ - CVPR2019 []()
3. Attention-guided Unified Network for Panoptic Segmentation - CVPR2019 
4. Single Network Panoptic Segmentation for Street Scene Understanding - 2019 
5. Panoptic Feature Pyramid Networks - CVPR2019 
6. DeeperLab: Single-Shot Image Parser - 2019 
7. Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network - 2019 
8. Weakly- and Semi-Supervised Panoptic Segmentation - ECCV2018    
9. Panoptic Segmentation - FAIR2018(CVPR2019)  

3. Human Parsing

1. Graphonomy: Universal Human Parsing via Graph Transfer Learning - CVPR2019  
2. Macro-Micro Adversarial Network for Human Parsing - ECCV2018  
3. Holistic, Instance-level Human Parsing - 2017 
4. Semi-Supervised Hierarchical Semantic Object Parsing - 2017 
5. Towards Real World Human Parsing: Multiple-Human Parsing in the Wild - 2017 
6. Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing-2017   
7. Efficient and Robust Deep Networks for Semantic Segmentation - 2017   
8. Deep Learning for Human Part Discovery in Images-2016  
9. A CNN Cascade for Landmark Guided Semantic Part Segmentation-2016  
10. Deep Learning for Semantic Part Segmentation With High-level Guidance-2015 
11. Neural Activation Constellations-Unsupervised Part Model Discovery with Convolutional Networks-2015 
12. Human Parsing with Contextualized Convolutional Neural Network-2015 
13. Part detector discovery in deep convolutional neural networks-2014  

4. Clothes Parsing

1. Looking at Outfit to Parse Clothing-2017 
2. Semantic Object Parsing with Local-Global Long Short-Term Memory-2015 
3. A High Performance CRF Model for Clothes Parsing-2014    
4. Clothing co-parsing by joint image segmentation and labeling-2013   
5. Parsing clothing in fashion photographs-2012  

5. Instance Segmentation

1. YOLACT: Real-time Instance Segmentation - 2019  
2. Pose2Seg: Detection Free Human Instance Segmentation - CVPR2019    
3. Mask Scoring R-CNN - CVPR2019  
4. Actor-Critic Instance Segmentation - CVPR2019 
5. TensorMask: A Foundation for Dense Object Segmentation - FAIR 
6. A Pyramid CNN for Dense-Leaves Segmentation - 2018 
7. Predicting Future Instance Segmentations by Forecasting Convolutional Features - 2018 
8. Path Aggregation Network for Instance Segmentation - CVPR2018  
9. PixelLink: Detecting Scene Text via Instance Segmentation - AAAI2018  
10. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features - 2017 - google 
11. Recurrent Neural Networks for Semantic Instance Segmentation-2017 
12. Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 
13. Semantic Instance Segmentation via Deep Metric Learning-2017 
14. Mask R-CNN-2017      
15. Pose2Seg: Human Instance Segmentation Without Detection - 2018 
16. Pose2Instance: Harnessing Keypoints for Person Instance Segmentation-2017 
17. Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 
18. Semantic Instance Segmentation with a Discriminative Loss Function-2017 
19. Fully Convolutional Instance-aware Semantic Segmentation-2016  
20. End-to-End Instance Segmentation with Recurrent Attention  
21. Instance-aware Semantic Segmentation via Multi-task Network Cascades-2015  
22. Recurrent Instance Segmentation-2015     

6. Segment Object Candidates

1. Contextual Encoder-Decoder Network for Visual Saliency Prediction - 2019 
2. FastMask: Segment Object Multi-scale Candidates in One Shot-2016  
3. Learning to Refine Object Segments-2016  
4. Learning to Segment Object Candidates-2015   

7. Foreground Object Segmentation

1. Pixel Objectness-2017   
2. A Deep Convolutional Neural Network for Background Subtraction-2017