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

2019 年 4 月 5 日 AI研习社

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：

语义分割

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

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

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

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

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]

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

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]

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

Semantic Object Parsing with Graph LSTM
Attention to Scale: Scale-aware Semantic Image Segmentation
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

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]

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

注：因篇幅关系，剩余内容及论文对应链接请点击底部【阅读原文】进行访问查看。