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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Semantic Segmentation On Us3D

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	mIoU	Paper Title	Repository
LMFNet-3	85.09	LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing	-
FPN	72.51	Feature Pyramid Networks for Object Detection
SegFormer-B0	71.80	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
LMFNet-2	84.50	LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing	-
CMX	84.63	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SegFormer-B2	75.14	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SA-Gate	83.62	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
vFuseNet	83.53	Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
SegFormer-B1	74.19	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
UNetFormer	74.77	UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
PSNet	73.12	Pyramid Scene Parsing Network

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Semantic Segmentation On Us3D | SOTA | HyperAI초신경