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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Semantic Segmentation On Potsdam

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
mIoU
Paper TitleRepository
SA-Gate84.28Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
UnetFormer85.18UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
PSPNet82.98Pyramid Scene Parsing Network
FPN82.99Feature Pyramid Networks for Object Detection
LMFNet-386.39LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing-
SegFormer-B184.37SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
LMFNet-285.51LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing-
SegFormer-B083.67SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SegFormer-B284.65SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
CMX85.97CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
V-FuseNet84.36Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
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