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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  1. 홈
  2. SOTA
  3. 3D 의미 분할
  4. 3D Semantic Segmentation On Sensaturban

3D Semantic Segmentation On Sensaturban

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
mIoU
Paper TitleRepository
TangentConv33.30Tangent Convolutions for Dense Prediction in 3D
SPGraph37.29Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
LCPFormer63.4LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
KPConv57.58KPConv: Flexible and Deformable Convolution for Point Clouds
SparseConv42.663D Semantic Segmentation with Submanifold Sparse Convolutional Networks
EyeNet62.30Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene
SCF-Net55.1SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation-
BEV-Seg3D-Net61.7Efficient Urban-scale Point Clouds Segmentation with BEV Projection
0 of 8 row(s) selected.
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한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

링크

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