HyperAI
Accueil
Actualités
Articles de recherche récents
Tutoriels
Ensembles de données
Wiki
SOTA
Modèles LLM
Classement GPU
Événements
Recherche
À propos
Français
HyperAI
Toggle sidebar
Rechercher sur le site...
⌘
K
Accueil
SOTA
Unsupervised Domain Adaptation
Unsupervised Domain Adaptation On Synthia To
Unsupervised Domain Adaptation On Synthia To
Métriques
mIoU
mIoU (13 classes)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
mIoU
mIoU (13 classes)
Paper Title
Repository
Re-EnD-UDA
52.58
59.95
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
DAFormer + ProCST
-
68.2
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DCF
69.3
75.9
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
MRNet + Adaboost
45.9
52.9
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
Uncertainty
47.9
54.9
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Uncertainty + Adaboost
50.4
57.5
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
HRDA
65.8
72.4
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
MIC
67.3
74.0
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
DIDA
63.3
70.1
Dual-level Interaction for Domain Adaptive Semantic Segmentation
CLUDA+HRDA
67.2
-
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
MRNet
43.2
50.2
Unsupervised Scene Adaptation with Memory Regularization in vivo
SePiCo (DeepLabv2 ResNet-101)
-
66.5
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
-
TransDA-B
-
66.3
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
DAFormer+CSI
61.4
-
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs
ProCA(ResNet-101)
-
59.6
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
DAFormer
60.9
67.4
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
HRDA + PiPa
-
74.8
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
FAFS
54.5
61.4
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment
-
MIC+CSI
68.8
75.9
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs
SePiCo
-
71.4
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
-
0 of 21 row(s) selected.
Previous
Next