HyperAI
HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Unüberwachte Domänenanpassung
Unsupervised Domain Adaptation On Gtav To
Unsupervised Domain Adaptation On Gtav To
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mIoU
Paper Title
Repository
DAFormer + ProCST
69.4
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
-
BiSMAP (ResNet 101)
61.2
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation
-
SePiCo
70.3
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
-
HRDA + PiPa
75.6
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
-
TransDA-B
63.9
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
-
CAMix (w Deeplabv2 ResNet 101)
55.2
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
-
DIDA
71.0
Dual-level Interaction for Domain Adaptive Semantic Segmentation
-
BiMaL
47.3
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
-
DAFormer
68.3
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
-
Uncertainty
50.3
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
-
DAFormer + PiPa
71.7
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
-
CAMix (w DAFormer)
70.0
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
-
MRNet
45.5
Unsupervised Scene Adaptation with Memory Regularization in vivo
-
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
-
MIC
75.9
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
-
Uncertainty + Adaboost
50.9
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
-
Re-EnD-UDA
57.98
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
-
HRDA
73.8
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
-
CLUDA+HRDA
74.4
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
-
0 of 20 row(s) selected.
Previous
Next
Unsupervised Domain Adaptation On Gtav To | SOTA | HyperAI