Semantic Segmentation On Deliver 1
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
モデル名 | mIoU | Paper Title | Repository |
---|---|---|---|
CMNeXt (RGB-D-Event) | 64.44 | Delivering Arbitrary-Modal Semantic Segmentation | |
CAFuser | 67.8 | CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes | |
CMNeXt (RGB-LiDAR) | 58.04 | Delivering Arbitrary-Modal Semantic Segmentation | |
CMNeXt (RGB-D-LiDAR) | 65.50 | Delivering Arbitrary-Modal Semantic Segmentation | |
CMNeXt (RGB-Event) | 57.48 | Delivering Arbitrary-Modal Semantic Segmentation | |
SegFormer | 57.20 | SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers | |
GeminiFusion | 66.9 | GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer | |
CMNeXt (RGB-Depth) | 63.58 | Delivering Arbitrary-Modal Semantic Segmentation | |
CMNeXt (RGB-D-E-LiDAR) | 66.30 | Delivering Arbitrary-Modal Semantic Segmentation |
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