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awesome-real-time-semantic-segmentation's Introduction
Awesome-Real-time-Semantic-Segmentation
实时语义分割(Real-time Semantic Segmentation)
实时语义分割方法(Real-time Semantic Segmentation Methods)
单分支网络(Single-branch Network)
方法 |
标题 |
论文 |
代码 |
发表期刊或会议 |
基础框架 |
应用场景 |
发表年份 |
数据集 |
ENet |
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation |
Paper |
Code |
Arxiv |
CNN |
Desk GPU |
2016 |
Cityscapes, CamVid, SUN |
DABNet |
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation |
Paper |
Code |
BMVC |
CNN |
Desk GPU |
2019 |
Cityscapes, CamVid |
SegFormer |
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers |
Paper |
Code |
NeurIPS |
Transformer |
Desk GPU |
2021 |
Cityscapes, ADE20K, PascalContext, PascalVOC, COCO-Stuff, iSAID |
SegNext |
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation |
Paper |
Code |
NeurIPS |
CNN |
Desk GPU |
2022 |
Cityscapes, ADE20K, PascalContext, PascalVOC, COCO-Stuff, iSAID |
AFFormer |
Head-Free Lightweight Semantic Segmentation with Linear Transformer |
Paper |
Code |
AAAI |
Transformer |
Desk GPU |
2023 |
Cityscapes, ADE20K, COCO-Stuff |
双分支网络(Two-branch Network)
方法 |
标题 |
论文 |
代码 |
发表期刊或会议 |
基础框架 |
应用场景 |
发表年份 |
数据集 |
BiSeNet |
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation |
Paper |
Code |
ECCV |
CNN |
Desk GPU |
2018 |
Cityscapes, CamVid, COCO-Stuff |
Fast-SCNN |
Fast-SCNN: Fast Semantic Segmentation Network |
Paper |
Code |
BMVC |
CNN |
Desk GPU |
2019 |
Cityscapes |
BiSeNetV2 |
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation |
Paper |
Code |
IJCV |
CNN |
Desk GPU |
2021 |
Cityscapes, CamVid, COCO-Stuff |
STDC |
Rethinking BiSeNet For Real-time Semantic Segmentation |
Paper |
Code |
CVPR |
CNN |
Desk GPU |
2021 |
Cityscapes, CamVid |
DDRNet |
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Traffic Scenes |
Paper |
Code |
TIP |
CNN |
Desk GPU |
2022 |
Cityscapes, CamVid, COCO-Stuff |
RTFormer |
Rethinking BiSeNet For Real-time Semantic Segmentation |
Paper |
Code |
NeurIPS |
CNN |
Desk GPU |
2022 |
Cityscapes, CamVid, ADE20K, COCO-Stuff |
SeaFormer |
SEAFORMER: SQUEEZE-ENHANCED AXIAL TRANSFORMER FOR MOBILE SEMANTIC SEGMENTATION |
Paper |
Code |
ICLR |
Hybrid |
Mobile CPU |
2023 |
Cityscapes, ADE20K, PascalContext, COCO-Stuff |
多分支网络(Multi Branch Network)
方法 |
标题 |
论文 |
代码 |
发表期刊或会议 |
基础框架 |
应用场景 |
发表年份 |
数据集 |
ICNet |
ICNet for Real-Time Semantic Segmentation on High-Resolution Images |
Paper |
Code |
ECCV |
CNN |
Desk GPU |
2018 |
Cityscapes, CamVid, COCO-Stuff |
ESPNet |
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation |
Paper |
Code |
ECCV |
CNN |
Desk GPU |
2018 |
Cityscapes, PascalVOC, Mapillary |
DFANet |
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation |
Paper |
|
CVPR |
CNN |
Desk GPU |
2019 |
Cityscapes, CamVid |
PIDNet |
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers |
Paper |
Code |
CVPR |
CNN |
Desk GPU |
2023 |
Cityscapes, CamVid,PASCAL Context |
方法 |
标题 |
论文 |
代码 |
发表期刊或会议 |
基础框架 |
应用场景 |
发表年份 |
数据集 |
SwiftNet |
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images |
Paper |
Code |
CVPR |
CNN |
Desk GPU |
2019 |
Cityscapes, CamVid |
ShelfNet |
ShelfNet for Fast Semantic Segmentation |
Paper |
Code |
ICCV(Workshop) |
CNN |
Desk GPU |
2019 |
Cityscapes, PascalContext, PascalVOC |
SFNet |
Semantic Flow for Fast and Accurate Scene Parsing |
Paper |
Code |
ECCV |
CNN |
Desk GPU |
2020 |
Cityscapes, CamVid, ADE20K, PascalContext |
HyperSeg |
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation |
Paper |
Code |
CVPR |
CNN |
Desk GPU |
2021 |
Cityscapes, CamVid, PascalVOC |
TopFormer |
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation |
Paper |
Code |
CVPR |
Hybrid |
Mobile CPU |
2022 |
Cityscapes, ADE20K, PascalContext, COCO-Stuff |
方法 |
标题 |
论文 |
代码 |
发表期刊或会议 |
基础框架 |
应用场景 |
发表年份 |
数据集 |
DF-Seg |
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search |
Paper |
|
CVPR |
CNN |
Desk GPU |
2019 |
Cityscapes |
FasterSeg |
FASTERSEG: SEARCHING FOR FASTER REAL-TIME SEMANTIC SEGMENTATION |
Paper |
Code |
ICLR |
CNN |
Desk GPU |
2020 |
Cityscapes, CamVid, BDD |
RT-Seg |
Towards Real-Time Segmentation on the Edge |
Paper |
|
AAAI |
CNN |
Mobile GPU |
2023 |
Cityscapes, ADE20K, PascalVOC |
Pruning Parameterization |
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge |
Paper |
|
CVPR |
CNN |
Mobile GPU |
2023 |
Cityscapes, ADE20K, PascalVOC |
数据集 |
链接 |
年份 |
类别数 |
分辨率 |
图像数量 |
类型 |
Cityscapes |
Link |
2012 |
19 |
2048x1024 |
5000 |
自动驾驶 |
CamVid |
Link |
2009 |
11 |
960x720 |
701 |
自动驾驶 |
ADE20K |
Link |
2017 |
150 |
不固定 |
22210 |
通用场景 |
COCOStuff-10K |
Link |
2018 |
171 |
不固定 |
10000 |
通用场景 |
PASCAL VOC 2012 |
Link |
2012 |
20 |
不固定 |
13487 |
通用场景 |
PascalContext |
Link |
2015 |
59 |
不固定 |
10103 |
通用场景 |
测速代码(Latency Measurement Code)
Link
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Contributors