Semantic Segmentation On Mcubes
Metrics
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | mIoU |
|---|---|
| dynamic-region-aware-convolution | 34.63% |
| 2408-01343 | 52.68 |
| encoder-decoder-with-atrous-separable | 38.13% |
| 2408-01343 | 53.92 |
| sharecmp-polarization-aware-rgb-p-semantic | 50.99% |
| delivering-arbitrary-modal-semantic | 51.54% |
| multimodal-transformer-for-material | 53.11% |
| 2408-01343 | 53.21 |
| sharecmp-polarization-aware-rgb-p-semantic | 50.34 |
| 2408-01343 | 53.26 |
| multimodal-transformer-for-material | 51.30% |
| memorysam-memorize-modalities-and-semantics | 52.20 |
| multimodal-transformer-for-material | 50.44% |
| multimodal-transformer-for-material | 52.05% |
| sharecmp-polarization-aware-rgb-p-semantic | 50.55 |
| decoupled-dynamic-filter-networks | 36.16% |
| delivering-arbitrary-modal-semantic | 49.48% |
| delivering-arbitrary-modal-semantic | 48.42% |
| 2408-01343 | 52.72 |
| memorysam-memorize-modalities-and-semantics | 52.88 |
| memorysam-memorize-modalities-and-semantics | 51.20 |
| multimodal-material-segmentation | 42.86% |