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SOTA
Segmentation sémantique
Semantic Segmentation On Loveda
Semantic Segmentation On Loveda
Métriques
Category mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Category mIoU
Paper Title
Repository
MAE+MTP(ViT-L+RVSA)
54.17
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
DecoupleNet D2
53.1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual Tasks
SFA-Net
54.9
SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation
Hi-ResNet
52.6
Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation
-
LWGANet L2
53.6
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
LSKNet-S
54.0
Large Selective Kernel Network for Remote Sensing Object Detection
AerialFormer-B
54.1
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
ViT-G12X4
54.4
A Billion-scale Foundation Model for Remote Sensing Images
-
HRNetw32
49.79
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
U-Net (MaxViT-S)
56.16
U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery
-
ViT-B + RVSA-UperNet
51.95
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
IMP+MTP(InternImage-XL)
54.17
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
LSKNet-T
53.2
Large Selective Kernel Network for Remote Sensing Object Detection
MAE+MTP(ViT-B+RVSA)
52.39
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
LOGCAN++
53.35
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery
SelectiveMAE+ViT-L
54.31
Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset
ViTAE-B + RVSA-UperNet
52.44
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
UNetFormer
52.40
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
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