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Semantic Segmentation On Syn Udtiri

評価指標

IoU

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
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
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Semantic Segmentation On Syn Udtiri | SOTA | HyperAI超神経