Smoke Segmentation on MSSDataset Medium
85.5F1 ScoreMoP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MoPBackbone Category=Transformer-based, Setting=Real-Time, Params=5.7, Flops=5.12026.02 | 85.5 | 75.7 | |
| MoPBackbone Category=Transformer-based, Setting=Accuracy-Oriented, Params=15.1, Flops=13.92026.02 | 85.16 | 75.12 | |
| FoSpBackbone Category=Transformer-based, Setting=Accuracy-Oriented, Params=47.3, Flops=185.22026.02 | 84.88 | 74.14 | |
| SegFormerBackbone Category=Transformer-based, Setting=Accuracy-Oriented, Params=99.2, Flops=207.82026.02 | 84.7 | 73.83 | |
| SegNeXtBackbone Category=CNN-based, Setting=Accuracy-Oriented, Params=45.3, Flops=41.42026.02 | 84.46 | 73.44 | |
| FoSpBackbone Category=Transformer-based, Setting=Real-Time, Params=15.2, Flops=68.42026.02 | 84.27 | 74.08 | |
| OCRNetBackbone Category=CNN-based, Setting=Real-Time, Params=12.1, Flops=52.82026.02 | 84.09 | 73.96 | |
| Trans-BVMBackbone Category=CNN-based, Setting=Accuracy-Oriented, Params=43.4, Flops=176.22026.02 | 84.01 | 73.3 | |
| Deeplabv3+Backbone Category=CNN-based, Setting=Accuracy-Oriented, Params=70.4, Flops=161.82026.02 | 83.9 | 73.94 | |
| PSPNetBackbone Category=CNN-based, Setting=Accuracy-Oriented, Params=49.0, Flops=178.52026.02 | 83.66 | 73.92 | |
| PSPNetBackbone Category=CNN-based, Setting=Real-Time, Params=4.3, Flops=6.22026.02 | 83.56 | 74.44 | |
| OCRNetBackbone Category=CNN-based, Setting=Accuracy-Oriented, Params=48.9, Flops=65.32026.02 | 83.4 | 71.96 | |
| SegFormerBackbone Category=Transformer-based, Setting=Real-Time, Params=13.6, Flops=52.62026.02 | 83.37 | 74.05 | |
| ProtoSegBackbone Category=Transformer-based, Setting=Accuracy-Oriented, Params=47.5, Flops=49.22026.02 | 82.34 | 70.52 | |
| ProtoSegBackbone Category=Transformer-based, Setting=Real-Time, Params=4.4, Flops=18.22026.02 | 81.29 | 68.9 | |
| Mask2FormerBackbone Category=Transformer-based, Setting=Accuracy-Oriented, Params=44.6, Flops=29.52026.02 | 81.04 | 68.72 | |
| Deeplabv3+Backbone Category=CNN-based, Setting=Real-Time, Params=3.7, Flops=6.42026.02 | 80.15 | 67.42 | |
| SegNeXtBackbone Category=CNN-based, Setting=Real-Time, Params=5.8, Flops=22.92026.02 | 80.11 | 67.27 | |
| MoPSetting=Accuracy-Oriented, Backbone Category=Transformer-based, Params=11.4M, FLOPs=11.5G2026.02 | 73.89 | 59.03 | |
| Deeplabv3+Setting=Accuracy-Oriented, Backbone Category=CNN-based, Params=43.6M, FLOPs=176.6G2026.02 | 72.04 | 56.91 | |
| Trans-BVMSetting=Accuracy-Oriented, Backbone Category=CNN-based, Params=47.3M, FLOPs=185.2G2026.02 | 71.81 | 56.79 | |
| MoPSetting=Real-Time, Backbone Category=Transformer-based, Params=4.4M, FLOPs=7.3G2026.02 | 71.19 | 56.27 | |
| PSPNetSetting=Accuracy-Oriented, Backbone Category=CNN-based, Params=49.0M, FLOPs=178.9G2026.02 | 70.95 | 55.64 | |
| FoSpSetting=Accuracy-Oriented, Backbone Category=Transformer-based, Params=47.5M, FLOPs=49.2G2026.02 | 70.6 | 55.01 | |
| Mask2FormerSetting=Accuracy-Oriented, Backbone Category=Transformer-based, Params=99.4M, FLOPs=208.2G2026.02 | 69.41 | 53.63 | |
| ProtoSegSetting=Accuracy-Oriented, Backbone Category=Transformer-based, Params=45.4M, FLOPs=42.4G2026.02 | 68.96 | 53.18 | |
| SegNeXtSetting=Accuracy-Oriented, Backbone Category=CNN-based, Params=48.9M, FLOPs=65.7G2026.02 | 68.59 | 53.43 | |
| OCRNetSetting=Accuracy-Oriented, Backbone Category=CNN-based, Params=70.4M, FLOPs=162.6G2026.02 | 68.27 | 53.34 | |
| ProtoSegSetting=Real-Time, Backbone Category=Transformer-based, Params=4.5M, FLOPs=18.8G2026.02 | 67.83 | 51.72 | |
| SegFormerSetting=Accuracy-Oriented, Backbone Category=Transformer-based, Params=30.6M, FLOPs=44.7G2026.02 | 67.8 | 51.68 | |
| FoSpSetting=Real-Time, Backbone Category=Transformer-based, Params=5.8M, FLOPs=23.1G2026.02 | 65.77 | 49.48 | |
| SegFormerSetting=Real-Time, Backbone Category=Transformer-based, Params=3.8M, FLOPs=6.9G2026.02 | 65.63 | 49.21 | |
| SegNeXtSetting=Real-Time, Backbone Category=CNN-based, Params=4.3M, FLOPs=6.4G2026.02 | 64.74 | 48.38 | |
| PSPNetSetting=Real-Time, Backbone Category=CNN-based, Params=13.6M, FLOPs=53.0G2026.02 | 64.14 | 47.8 | |
| Deeplabv3+Setting=Real-Time, Backbone Category=CNN-based, Params=15.2M, FLOPs=68.6G2026.02 | 63.79 | 47.59 | |
| OCRNetSetting=Real-Time, Backbone Category=CNN-based, Params=12.1M, FLOPs=53.6G2026.02 | 61.23 | 46.62 |