HyperAIHyperAI초신경
홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
한국어
HyperAIHyperAI초신경
  1. 홈
  2. SOTA
  3. 세마틱 세그멘테이션
  4. Semantic Segmentation On Us3D

Semantic Segmentation On Us3D

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
mIoU
Paper TitleRepository
LMFNet-385.09LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing-
FPN72.51Feature Pyramid Networks for Object Detection
SegFormer-B071.80SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
LMFNet-284.50LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing-
CMX84.63CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SegFormer-B275.14SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SA-Gate83.62Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
vFuseNet83.53Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
SegFormer-B174.19SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
UNetFormer74.77UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
PSNet73.12Pyramid Scene Parsing Network
0 of 11 row(s) selected.
HyperAI

학습, 이해, 실천, 커뮤니티와 함께 인공지능의 미래를 구축하다

한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

링크

TVM 한국어Apache TVMOpenBayes

© HyperAI초신경

TwitterBilibili