Real Time Semantic Segmentation On Cityscapes

评估指标

Frame (fps)

mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称	Frame (fps)	mIoU	Paper Title	Repository
STDC2-75	97.0(1080Ti)	76.8%	Rethinking BiSeNet For Real-time Semantic Segmentation
Template-Based-NAS-arch0	19	67.7%	Template-Based Automatic Search of Compact Semantic Segmentation Architectures
DeepLab	0.25	63.1%	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
EDANet	108.7 (1080Ti)	67.3	Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation
DDRNet-23-slim	101.6(2080Ti)	77.4%	Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
U-HarDNet-70	-	-	HarDNet: A Low Memory Traffic Network
FasterSeg	163.9	71.5%	-	-
ICNet	30.3	70.6%	ICNet for Real-Time Semantic Segmentation on High-Resolution Images
PP-LiteSeg-B1	195.3(1080Ti)	73.9%	PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
PP-LiteSeg-B2	102.6(1080Ti)	77.5%	PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
ShelfNet18	59.2	74.8%	ShelfNet for Fast Semantic Segmentation
PIDNet-L	31.1(3090)	80.6%	PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
ESNet	63	70.7%	ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
ENet	76.9	58.3%	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ENet + Lovász-Softmax	76.9	63.1%	The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
TD4-BISE18	47.6 (Titan X)	74.9%	Temporally Distributed Networks for Fast Video Semantic Segmentation
BiSeNet V2	156	72.6%	BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
RegSeg (no ImageNet pretraining)	30	78.3%	Rethinking Dilated Convolution for Real-time Semantic Segmentation
PP-LiteSeg-T1	273.6(1080Ti)	72.0%	PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
HyperSeg-M	36.9	75.8%	HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

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