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الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
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Real Time Semantic Segmentation On Cityscapes 1

المقاييس

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
mIoU
Paper TitleRepository
PP-LiteSeg-T173.1PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model-
SegNext-T-Seg10079.8%SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation-
DSNet80.4%DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation-
RTFormer-S76.3%RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer-
PIDNet-M79.9%PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers-
DDRNet23-slim77.4Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes-
DDRNet2379.4Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes-
PIDNet-S78.8%PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers-
CSFNet-174.73CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes-
RTFormer-B79.3%RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer-
LiteSeg-MobileNet67.8%LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation-
FasterSeg73.1FasterSeg: Searching for Faster Real-time Semantic Segmentation-
PIDNet-L80.9%PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers-
BiseNetV2-L75.8%BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation-
CSFNet-276.36CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes-
PP-LiteSeg-B278.2PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model-
SwiftNetRN-1875.5%In defence of metric learning for speaker recognition-
BiseNetV273.5%BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation-
PP-LiteSeg-T276PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model-
Mobile-Seed78.4%Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots-
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