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/Mobile 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 |
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 |
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/Mobile 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/Mobile 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/Mobile 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 |