Semantic Segmentation On Eventscape
Metrics
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mIoU |
|---|---|
| fast-scnn-fast-semantic-segmentation-network | 44.27 |
| cmx-cross-modal-fusion-for-rgb-x-semantic | 61.90 |
| trans4trans-efficient-transformer-for | 51.86 |
| issafe-improving-semantic-segmentation-in | 43.61 |
| cgnet-a-light-weight-context-guided-network | 44.75 |
| cmx-cross-modal-fusion-for-rgb-x-semantic | 64.28 |
| segformer-simple-and-efficient-design-for | 58.69 |
| encoder-decoder-with-atrous-separable | 53.65 |
| bi-directional-cross-modality-feature | 53.94 |
| in-defense-of-pre-trained-imagenet | 36.67 |
| real-time-fusion-network-for-rgb-d-semantic | 41.34 |
| segformer-simple-and-efficient-design-for | 59.86 |