Semantic Segmentation On Us3D
Metrics
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mIoU |
|---|---|
| lmfnet-an-efficient-multimodal-fusion | 85.09 |
| feature-pyramid-networks-for-object-detection | 72.51 |
| segformer-simple-and-efficient-design-for | 71.80 |
| lmfnet-an-efficient-multimodal-fusion | 84.50 |
| cmx-cross-modal-fusion-for-rgb-x-semantic | 84.63 |
| segformer-simple-and-efficient-design-for | 75.14 |
| bi-directional-cross-modality-feature | 83.62 |
| beyond-rgb-very-high-resolution-urban-remote | 83.53 |
| segformer-simple-and-efficient-design-for | 74.19 |
| efficient-hybrid-transformer-learning-global | 74.77 |
| pyramid-scene-parsing-network | 73.12 |