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ホーム
SOTA
Semantic Segmentation
Semantic Segmentation On Mcubes
Semantic Segmentation On Mcubes
評価指標
mIoU
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
Columns
モデル名
mIoU
Paper Title
Repository
DRConv (RGB-A-D-N)
34.63%
Dynamic Region-Aware Convolution
-
StitchFusion (RGB-A)
52.68
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
DeepLabV3+ (RGB-A-D-N)
38.13%
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
StitchFusion (RGB-A-D-N)
53.92
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
ShareCMP (B2 RGB-A-D)
50.99%
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
CMNeXt (B2 RGB-A-D-N)
51.54%
Delivering Arbitrary-Modal Semantic Segmentation
MMSFormer (RGB-A-D-N)
53.11%
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
StitchFusion (RGB-N)
53.21
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
ShareCMP(B2 RGB-A)
50.34
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
StitchFusion (RGB-A-D)
53.26
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
MMSFormer (RGB-A)
51.30%
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
MemorySAM-B+(RGB-A-D)
52.20
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
MMSFormer (RGB)
50.44%
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
MMSFormer (RGB-A-D)
52.05%
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
ShareCMP(B2 RGB-D)
50.55
ShareCMP: Polarization-Aware RGB-P Semantic Segmentation
DDF (RGB-A-D-N)
36.16%
Decoupled Dynamic Filter Networks
CMNeXt (B2 RGB-A-D)
49.48%
Delivering Arbitrary-Modal Semantic Segmentation
CMNeXt (B2 RGB-A)
48.42%
Delivering Arbitrary-Modal Semantic Segmentation
StitchFusion (RGB-D)
52.72
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
MemorySAM-B+(RGB-A-D-N)
52.88
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
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