HyperAI
HyperAI
Accueil
Actualités
Articles de recherche récents
Tutoriels
Ensembles de données
Wiki
SOTA
Modèles LLM
Classement GPU
Événements
Recherche
À propos
Français
HyperAI
HyperAI
Toggle sidebar
Rechercher sur le site...
⌘
K
Accueil
SOTA
Segmentation sémantique
Semantic Segmentation On Potsdam
Semantic Segmentation On Potsdam
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
mIoU
Paper Title
Repository
SA-Gate
84.28
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
UnetFormer
85.18
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
PSPNet
82.98
Pyramid Scene Parsing Network
FPN
82.99
Feature Pyramid Networks for Object Detection
LMFNet-3
86.39
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
-
SegFormer-B1
84.37
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
LMFNet-2
85.51
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
-
SegFormer-B0
83.67
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SegFormer-B2
84.65
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
CMX
85.97
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
V-FuseNet
84.36
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
0 of 11 row(s) selected.
Previous
Next