Github项目推荐 | 语义分割、实例分割、全景分割和视频分割的论文和基准列表

Segmentation.X - Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

by Tianyi Wu（中国科学院计算技术研究所）

Github项目地址：

https://github.com/wutianyiRosun/Segmentation.X/blob/master/README.md

语义分割

2019

• CVPR 2019
  • Large-scale interactive object segmentation with human annotators
  • In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
  • A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
  • Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
  • Knowledge Adaptation for Efficient Semantic Segmentation
  • Structured Knowledge Distillation for Semantic Segmentation
  • FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
  • Data augmentation using learned transforms for one-shot medical image segmentation
  • CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
  • Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
• 2019年的其他会议
  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation [TMI]
• arXiv
  • Deep Co-Training for Semi-Supervised Image Segmentation
  • Residual Pyramid Learning for Single-Shot Semantic Segmentation
  • What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing
  • Dynamic Deep Networks for Retinal Vessel Segmentation
  • Efficient Smoothing of Dilated Convolutions for Image Segmentation
  • Adaptive Masked Weight Imprinting for Few-Shot Segmentation
  • An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions
  • Lift-the-Flap: Context Reasoning Using Object-Centered Graphs
  • Fast-SCNN: Fast Semantic Segmentation Network
  • THE EFFECT OF SCENE CONTEXT ON WEAKLY SUPERVISED SEMANTIC SEGMENTATION
  • MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
  • On Boosting Semantic Street Scene Segmentation with Weak Supervision

2018

• CVPR 2018
  • DenseASPP for Semantic Segmentation in StreetScenes
  • Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
  • Recurrent Scene Parsing with Perspective Understanding in the Loop
  • Learning a Discriminative Feature Network for Semantic Segmentation
  • Context Encoding for Semantic 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
  • Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation
• ECCV 2018
  • Multi-Scale Context Intertwining for Semantic Segmentation
  • Unified Perceptual Parsing for Scene Understanding
  • ExFuse: Enhancing Feature Fusion for Semantic Segmentation
  • BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
  • ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
  • PSANet: Point-wise Spatial Attention Network for Scene Parsing
  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images
  • Adaptive Affinity Fields for Semantic Segmentation
  • Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
• 2018年的其他会议
  • RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation [ICPR]
  • High Resolution Feature Recovering for Accelerating Urban Scene Parsing [IJCAI]
  • Mix-and-Match Tuning for Self-Supervised Semantic Segmentation [AAAI]
  • Spatial As Deep: Spatial CNN for Traffic Scene Understanding Xingang [AAAI]
  • A Probabilistic U-Net for Segmentation of Ambiguous Images [NIPS]
  • DifNet: Semantic Segmentation by Diffusion Networks [NIPS]
  • Searching for Efficient Multi-Scale Architectures for Dense Image Prediction [NIPS]
• ArXiv
  • Improving Semantic Segmentation via Video Propagation and Label Relaxation
  • Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
  • Graph-Based Global Reasoning Networks
  • ShelfNet for Real-time Semantic Segmentation, Multi-path segmentation network
  • CCNet: Criss-Cross Attention for Semantic Segmentation
  • Dual Attention Network for Scene Segmentation
  • Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
  • Locally Adaptive Learning Loss for Semantic Image Segmentation
  • RTSEG: REAL-TIME SEMANTIC SEGMENTATION COMPARATIVE STUDY
  • OCNet: Object Context Network for Scene Parsing
  • CGNet: A Light-weight Context Guided Network for Semantic Segmentation
  • Tree-structured Kronecker Convolutional Network for Semantic Segmentation

2017

• CVPR 2017
  • Convolutional RandomWalk Networks for Semantic Image Segmentation
  • Dilated Residual Networks
  • Learning Adaptive Receptive Fields for Deep Image Parsing Network
  • Loss Max-Pooling for Semantic Image Segmentation
  • Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
  • Pyramid Scene Parsing Network
  • Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
  • Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
  • Gated Feedback Refinement Network for Dense Image Labeling
• ICCV 2017
  • Deep Dual Learning for Semantic Image Segmentation
  • Semi Supervised Semantic Segmentation Using Generative Adversarial Network
  • Scale-adaptive Convolutions for Scene Parsing
  • Predicting Deeper into the Future of Semantic Segmentation
  • Segmentation-Aware Convolutional Networks Using Local Attention Mask
  • Dense and Low-Rank Gaussian CRFs Using Deep Embeddings Siddhartha
  • FoveaNet: Perspective-aware Urban Scene Parsing
• 2017年的其他会议
  • Understanding Convolution for Semantic Segmentation[WACV]
  • Learning Affinity via Spatial Propagation Networks[NIPS]
  • Dual Path Networks[NIPS]
  • Semantic Segmentation with Reverse Attention[BMVC]
  • The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation[CVPRW]
  • Fully Convolutional Networks for Semantic Segmentation [TPAMI]
• ArXiv
  • Rethinking Atrous Convolution for Semantic Image Segmentation
  • Pixel Deconvolutional Networks

2016

• CVPR 2016
  • Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
• ECCV 2016
  • Semantic Object Parsing with Graph LSTM
  • Attention to Scale: Scale-aware Semantic Image Segmentation
  • Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
• 2016年的其他会议
  • Semantic Segmentation using Adversarial Networks [NIPSW]
  • Speeding up Semantic Segmentation for Autonomous Driving [NIPSW]
  • ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation [PyTorch]
  • Multi-Scale Context Aggregation by Dilated Convolutions [ICLR] [PyTorch]
  • Learning Dense Convolutional Embeddings for Semantic Segmentation[ICLR]
• ArXiv
  • ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
  • PixelNet: Towards a General Pixel-level Architecture
  • MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
  • High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks