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SOTA
Domain-Anpassung
Domain Adaptation On Synthia To Cityscapes
Domain Adaptation On Synthia To Cityscapes
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mIoU
Paper Title
HALO
78.1
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
ILM-ASSL
76.6
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
DCF
69.3
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
HRDA+PiPa
68.2
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
MIC
67.3
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
FREDOM - Transformer
67
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
HRDA
65.8
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
SePiCo
64.3
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
MIC + Guidance Training
63.8
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
DAFormer + ProCST
61.6
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DAFormer
60.9
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
GtA-SFDA (DeepLabv2-ResNet101)
60.1
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
FREDOM - DeepLabV2
59.1
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
SePiCo (DeepLabv2-ResNet-101)
58.1
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
ProDA+CRA
56.9
Cross-Region Domain Adaptation for Class-level Alignment
CorDA (ResNet-101)
55.0
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
SAC (ResNet-101)
52.6
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
STPL
51.8
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
RPT (ResNet-101)
51.2
Transferring and Regularizing Prediction for Semantic Segmentation
IAST (ResNet-101)
49.8
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
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Domain Adaptation On Synthia To Cityscapes | SOTA | HyperAI