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الرئيسية
SOTA
التمييز الدلالي في الوقت الفعلي
Real Time Semantic Segmentation On Cityscapes
Real Time Semantic Segmentation On Cityscapes
المقاييس
Frame (fps)
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
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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