Semantic Segmentation On Fmb Dataset
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mIoU |
|---|---|
| didfuse-deep-image-decomposition-for-infrared | 50.60 |
| target-aware-dual-adversarial-learning-and-a | 48.10 |
| feanet-feature-enhanced-attention-network-for | 46.80 |
| 2408-01343 | 64.32 |
| roadformer-delivering-rgb-x-scene-parsing | 73.1 |
| multimodal-transformer-for-material | 61.70 |
| 2408-01343 | 63.30 |
| multi-interactive-feature-learning-and-a-full | 50.50 |
| multimodal-transformer-for-material | 57.20 |
| reconet-real-time-coherent-video-style | 50.90 |
| unveiling-the-potential-of-segment-anything | 67.8 |
| gmnet-graph-matching-network-for-large-scale | 49.20 |
| egfnet-edge-aware-guidance-fusion-network-for | 47.30 |
| multi-interactive-feature-learning-and-a-full | 54.80 |