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
Domain-Anpassung
Domain Adaptation On Cityscapes To
Domain Adaptation On Cityscapes To
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mIoU
Paper Title
Repository
FIFO
48.4
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
-
BWG
51.3
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance
CMAda3+
46.8
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
-
CuDA-Net
49.1
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
-
FogAdapt+
50.6
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
-
CoDA
60.9
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
-
0 of 6 row(s) selected.
Previous
Next
Domain Adaptation On Cityscapes To | SOTA | HyperAI