Glass Segmentation on RGB-T dataset Images with glass 1.0 (test)
2.7MAERGB-T Glass Segmentation Network
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RGB-T Glass Segmentation NetworkVariant=RGB-T, #Params=85.02M, Inference time=0.048s, Model size=328Mb2022.04 | 2.7 | 93.8 | 96.5 | 4.078 | |
| CMX#Params=66.56M, Inference time=0.035s, Model size=255Mb2022.04 | 3.1 | 92.4 | 95.6 | 5.421 | |
| EBS#Params=118.96M, Inference time=0.036s, Model size=467Mb2022.04 | 4.1 | 91.24 | 94.6 | 5.528 | |
| SPNet#Params=175.29M, Inference time=0.058s, Model size=671Mb2022.04 | 4.4 | 90.76 | 94.7 | 5.064 | |
| CLNet#Params=246.13M, Inference time=0.142s, Model size=941Mb2022.04 | 4.5 | 91.01 | 94.5 | 4.983 | |
| VST#Params=83.83M, Inference time=0.034s, Model size=321Mb2022.04 | 5 | 90.03 | 93.9 | 5.857 | |
| ESANet#Params=46.88M, Inference time=0.022s, Model size=359Mb2022.04 | 5.1 | 90.15 | 94.5 | 5.863 | |
| UTA#Params=48.61M, Inference time=0.023s, Model size=98Mb2022.04 | 5.1 | 89.59 | 93.3 | 6.06 | |
| Segformer#Params=34.07M, Inference time=0.017s, Model size=131Mb2022.04 | 5.2 | 89.22 | 93.4 | 7.208 | |
| HDFNet#Params=54.77M, Inference time=0.019s, Model size=419Mb2022.04 | 5.5 | 89.56 | 94.1 | 5.673 | |
| RGB-T Glass Segmentation NetworkVariant=RGB-only, #Params=65.14M, Inference time=0.039s, Model size=238Mb2022.04 | 5.6 | 88.94 | 92.9 | 6.618 | |
| ShapeConv#Params=41.21M, Inference time=0.534s, Model size=161Mb2022.04 | 5.9 | 87.65 | 93 | 6.94 | |
| DCFNet#Params=108.49M, Inference time=0.064s, Model size=373Mb2022.04 | 5.9 | 88.13 | 93 | 6.757 | |
| RD3D#Params=46.90M, Inference time=0.013s, Model size=180Mb2022.04 | 6.4 | 88.94 | 93.8 | 6.61 | |
| RTFNet#Params=185.23M, Inference time=0.016s, Model size=708Mb2022.04 | 6.8 | 88.92 | 93.6 | 6.675 | |
| Segmenter#Params=103.15M, Inference time=1.067s, Model size=784Mb2022.04 | 7.2 | 85.83 | 91.2 | 8.451 | |
| HAINet#Params=59.82M, Inference time=0.023s, Model size=229Mb2022.04 | 7.8 | 87.16 | 93.2 | 7.247 | |
| UCNet#Params=31.26M, Inference time=0.026s, Model size=120Mb2022.04 | 7.9 | 84.7 | 91.3 | 8.324 | |
| SSF#Params=32.93M, Inference time=0.028s, Model size=126Mb2022.04 | 8.1 | 84.53 | 90.9 | 8.068 | |
| DANet#Params=26.68M, Inference time=0.007s, Model size=102Mb2022.04 | 8.2 | 85.63 | 91.5 | 7.982 | |
| ATSA#Params=32.16M, Inference time=0.021s, Model size=124Mb2022.04 | 8.8 | 83.87 | 90.3 | 8.185 | |
| FRDT#Params=72.81M, Inference time=0.013s, Model size=279Mb2022.04 | 9.4 | 82.53 | 89 | 9.05 | |
| EBLNet#Params=48.36M, Inference time=0.012s, Model size=185Mb2022.04 | 11.3 | 80.54 | 88 | 10.301 | |
| CoNet#Params=43.66M, Inference time=0.021s, Model size=168Mb2022.04 | 11.8 | 79.94 | 87.6 | 9.336 | |
| Zhang et al.#Params=38.87M, Inference time=0.053s, Model size=445Mb2022.04 | 15.6 | 75.13 | 84.2 | 14.141 | |
| MCNet#Params=54.64M, Inference time=0.266s, Model size=210Mb2022.04 | 17.7 | 67.45 | 78.2 | 19.934 | |
| RGB-T Glass Segmentation NetworkVariant=Thermal-only, #Params=65.14M, Inference time=0.039s, Model size=238Mb2022.04 | 18.9 | 68.63 | 78.1 | 19.315 | |
| DPANet#Params=92.40M, Inference time=0.019s, Model size=354Mb2022.04 | 24.1 | 71.51 | 83.8 | 15.051 |