Thermal Image Segmentation On Pst900
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | mIoU |
---|---|
context-aware-interaction-network-for-rgb-t | 84.74 |
pst900-rgb-thermal-calibration-dataset-and | 68.4 |
fast-scnn-fast-semantic-segmentation-network | 47.2 |
unveiling-the-potential-of-segment-anything | 89.8 |
unirgb-ir-a-unified-framework-for-visible | 82.8 |
rtfnet-rgb-thermal-fusion-network-for | 57.6 |
channel-and-spatial-relation-propagation | 75.0 |
edge-aware-guidance-fusion-network-for-rgb | 78.51 |
mtanet-multitask-aware-network-with | 78.60 |
cacfnet-cross-modal-attention-cascaded-fusion | 86.56 |
egfnet-edge-aware-guidance-fusion-network-for | 85.42 |
complementary-random-masking-for-rgb-thermal | 88 |
multimodal-transformer-for-material | 87.45 |
sigma-siamese-mamba-network-for-multi-modal | 87.8 |
hapnet-toward-superior-rgb-thermal-scene | 89.0 |
gebnet-graph-enhancement-branch-network-for | 81.15 |
mfnet-towards-real-time-semantic-segmentation | 57.0 |
acnet-attention-based-network-to-exploit | 71.81 |
spidermesh-spatial-aware-demand-guided | 82.3 |
efficient-multimodal-semantic-segmentation | 86.7 |
2408-01343 | 85.35 |
u-net-convolutional-networks-for-biomedical | 52.8 |