Semantic Segmentation On Sun Rgbd

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Mean IoU (test)

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Mean IoU (test)	Paper Title	Repository
DFormer-L	48.17	Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
CMX (B5)	-	Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis	-
EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned)	-	Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
CMX (B4)	-	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
FSFNet	-	Deep feature selection-and-fusion for RGB-D semantic segmentation	-
TokenFusion (S)	-	Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
TokenFusion (S)	-	Depth-aware CNN for RGB-D Segmentation
PSD-ResNet50	-	ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
DFormer-B	-	RDFNet: RGB-D Multi-Level Residual Feature Fusion for Indoor Semantic Segmentation	-
EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned)	-	PanopticNDT: Efficient and Robust Panoptic Mapping
GeminiFusion (MiT-B5)	-	GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
DFormer-L	-	Attention-guided Chained Context Aggregation for Semantic Segmentation
TokenFusion (S)	-	Multimodal Token Fusion for Vision Transformers
TokenFusion (Ti)	-	Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
DFormer-L	-	DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
DPLNet	-	Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
DPLNet	-	Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
TokenFusion (Ti)	-	Multimodal Token Fusion for Vision Transformers
CMX (B4)	-	Pixel Difference Convolutional Network for RGB-D Semantic Segmentation	-
DPLNet	-	Recurrent Scene Parsing with Perspective Understanding in the Loop

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