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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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  4. Semantic Segmentation On Syn Udtiri

Semantic Segmentation On Syn Udtiri

평가 지표

IoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
IoU
Paper TitleRepository
RoadFormer+ (B)94.11RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion-
DFormer90.88DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
RoadFormer (B)93.06RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing-
CAINet91.77Context-Aware Interaction Network for RGB-T Semantic Segmentation
RTFNet90.50RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes-
CMX93.31CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
OFF-Net83.80ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
MFNet87.70MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes-
RoadFormer (L)93.51RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing-
SNE-RoadSeg92.10SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
0 of 10 row(s) selected.
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한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

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