Semantic Segmentation On Deliver 1
Metrics
mIoU
Results
Performance results of various models on this benchmark
Model Name | 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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