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

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3D Semantic Segmentation On Sensaturban

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	mIoU	Paper Title	Repository
TangentConv	33.30	Tangent Convolutions for Dense Prediction in 3D	-
SPGraph	37.29	Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs	-
LCPFormer	63.4	LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers	-
KPConv	57.58	KPConv: Flexible and Deformable Convolution for Point Clouds	-
SparseConv	42.66	3D Semantic Segmentation with Submanifold Sparse Convolutional Networks	-
EyeNet	62.30	Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene	-
SCF-Net	55.1	SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
BEV-Seg3D-Net	61.7	Efficient Urban-scale Point Clouds Segmentation with BEV Projection	-

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3D Semantic Segmentation On Sensaturban | SOTA | HyperAI초신경