Semantic Segmentation On Urbanlf
Metrics
mIoU (Real)
mIoU (Syn)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mIoU (Real) | mIoU (Syn) |
|---|---|---|
| video-semantic-segmentation-with-distortion | 75.91 | 74.27 |
| delivering-arbitrary-modal-semantic | 82.62 | 80.98 |
| temporal-memory-attention-for-video-semantic | 77.14 | 76.41 |
| temporally-distributed-networks-for-fast | 76.48 | 74.71 |
| rethinking-semantic-segmentation-from-a | 77.74 | 77.69 |
| segformer-simple-and-efficient-design-for | 82.20 | 78.53 |
| u-net-convolutional-networks-for-biomedical | 78.60 | 79.36 |
| delivering-arbitrary-modal-semantic | 83.22 | 80.74 |
| delivering-arbitrary-modal-semantic | 83.11 | 81.02 |
| bi-directional-cross-modality-feature | n.a. | 79.53 |
| pyramid-scene-parsing-network | 76.34 | 75.78 |
| efficient-rgb-d-semantic-segmentation-for | n.a. | 79.43 |
| mti-net-multi-scale-task-interaction-networks | n.a. | 79.10 |
| encoder-decoder-with-atrous-separable | 76.27 | - |