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المنصة
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
PIDNet-L
31.1(3090)
80.6%
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
SFNet-R18
25.7(1080Ti)
80.4%
Semantic Flow for Fast and Accurate Scene Parsing
PIDNet-M
42.2(3090)
79.8%
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
PIDNet-S
93.2(3090)
78.6%
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
RegSeg (no ImageNet pretraining)
30
78.3%
Rethinking Dilated Convolution for Real-time Semantic Segmentation
PP-LiteSeg-B2
102.6(1080Ti)
77.5%
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
DDRNet-23-slim
101.6(2080Ti)
77.4%
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
STDC2-75
97.0(1080Ti)
76.8%
Rethinking BiSeNet For Real-time Semantic Segmentation
SwinMTL
-
76.41%
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
HyperSeg-M
36.9
75.8%
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
SwiftNetRN-18
39.9
75.5%
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
BiSeNet V2-Large
47.3
75.3%
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
STDC1-75
126.7
75.3%
Rethinking BiSeNet For Real-time Semantic Segmentation
TD4-BISE18
47.6 (Titan X)
74.9%
Temporally Distributed Networks for Fast Video Semantic Segmentation
PP-LiteSeg-T2
143.6(1080Ti)
74.9%
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
ShelfNet18
59.2
74.8%
ShelfNet for Fast Semantic Segmentation
BiSeNet(ResNet-18)
65.5
74.7%
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
BiSeNet
65.5
74.7%
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
PP-LiteSeg-B1
195.3(1080Ti)
73.9%
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
SegBlocks-RN18 (t=0.4)
48.6 (1080Ti)
73.8%
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
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Real Time Semantic Segmentation On Cityscapes | SOTA | HyperAI