الرئيسية الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Semantic Segmentation On Isaid

المقاييس

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mIoU	Paper Title	Repository
ViTAE-B + RVSA-UperNet	64.49	Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
FarSeg@ResNet-50	63.71	Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
AerialFormer-S	68.4	AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
SegNeXt-L	70.3	SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
FarSeg++@Swin-T	66.3	FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery	-
RSP-ResNet-50-UperNet	61.6	An Empirical Study of Remote Sensing Pretraining
SegNeXt-S	68.8	SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
DeepLabV3 with R-50	67.03	Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks	-
SegNeXt-B	69.9	SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
SegNeXt-T	68.3	SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
ViT-B + RVSA-UperNet	63.85	Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
IMP-ViTAEv2-S-UperNet	65.3	An Empirical Study of Remote Sensing Pretraining
FarSeg++@MiT-B2	67.9	FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery	-
FarSeg++@ResNet-50	67.6	FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery	-
FactSeg@ResNet-50	64.79	FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery	-
RSP-Swin-T-UperNet	64.1	An Empirical Study of Remote Sensing Pretraining
AerialFormer-T	67.5	AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
AerialFormer-B	69.3	AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
RSP-ViTAEv2-S-UperNet	64.3	An Empirical Study of Remote Sensing Pretraining

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