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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

		Paper Title
RoadFormer+ (B)	94.11	RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
RoadFormer (L)	93.51	RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing
CMX	93.31	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
RoadFormer (B)	93.06	RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing
SNE-RoadSeg	92.10	SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
CAINet	91.77	Context-Aware Interaction Network for RGB-T Semantic Segmentation
DFormer	90.88	DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
RTFNet	90.50	RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
MFNet	87.70	MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes
OFF-Net	83.80	ORFD: A Dataset and Benchmark for Off-Road Freespace Detection

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Semantic Segmentation On Syn Udtiri | SOTA | HyperAI超神経