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المنصة
الرئيسية
SOTA
التكيف غير المشرف بين المجالات
Unsupervised Domain Adaptation On Gtav To
Unsupervised Domain Adaptation On Gtav To
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
mIoU
Paper Title
MIC
75.9
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA + PiPa
75.6
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
CLUDA+HRDA
74.4
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
HRDA
73.8
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
DAFormer + PiPa
71.7
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
DIDA
71.0
Dual-level Interaction for Domain Adaptive Semantic Segmentation
SePiCo
70.3
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
CAMix (w DAFormer)
70.0
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
DAFormer + ProCST
69.4
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DAFormer
68.3
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
TransDA-B
63.9
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
BiSMAP (ResNet 101)
61.2
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
G2L
59.7
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation
FAFS
58.8
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment
Re-EnD-UDA
57.98
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
CAMix (w Deeplabv2 ResNet 101)
55.2
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Uncertainty + Adaboost
50.9
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
Uncertainty
50.3
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
BiMaL
47.3
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
MRNet
45.5
Unsupervised Scene Adaptation with Memory Regularization in vivo
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