Semantic Segmentation on CamVid 12 classes (val)
84.4mIoU (T367)EfficientNet-b1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| EfficientNet-b1Backbone=EfficientNet-b1, Param(M)=7.4, GFLOPS=1.52021.01 | 84.4 | 75 | 77 | 78.8 | |
| IkshanaNet-12GBackbone=IkshanaNet-12G, Param(M)=6.5, GFLOPS=285.02021.01 | 83.9 | 83.3 | 76.5 | 81.2 | |
| ResNet-18Backbone=ResNet-18, Param(M)=12.3, GFLOPS=12.42021.01 | 83.3 | 79.7 | 70 | 77.7 | |
| IkshanaNet-6GBackbone=IkshanaNet-6G, Param(M)=1.8, GFLOPS=82.02021.01 | 83.3 | 81.4 | 76 | 80.2 | |
| IkshanaNet-MBackbone=IkshanaNet-M, Param(M)=4.0, GFLOPS=139.02021.01 | 83.2 | 79.9 | 72.2 | 78.4 | |
| U-NetBackbone=U-Net, Param(M)=31.0, GFLOPS=130.02021.01 | 83 | 78 | 76.8 | 79.3 | |
| EfficientNet-b4Backbone=EfficientNet-b4, Param(M)=18.6, GFLOPS=1.72021.01 | 82.7 | 77.7 | 75.6 | 78.7 | |
| IkshanaNet-3GBackbone=IkshanaNet-3G, Param(M)=0.5, GFLOPS=26.02021.01 | 81.6 | 80 | 78 | 79.9 | |
| ResNet-101Backbone=ResNet-101, Param(M)=59.3, GFLOPS=59.92021.01 | 81.6 | 75.6 | 70.1 | 75.8 | |
| HRNet-V2Backbone=HRNet-V2, Param(M)=65.9, GFLOPS=63.52021.01 | 81.1 | 79.1 | 72.9 | 77.7 | |
| MobileNet-V2Backbone=MobileNet-V2, Param(M)=4.4, GFLOPS=4.12021.01 | 80.8 | 77.3 | 66.1 | 74.7 | |
| RegNetY-40Backbone=RegNetY-40, Param(M)=21.5, GFLOPS=18.82021.01 | 80.8 | 76.4 | 74.9 | 77.4 | |
| EfficientNet-b6Backbone=EfficientNet-b6, Param(M)=42.0, GFLOPS=1.92021.01 | 80.6 | 80.3 | 77.4 | 79.4 | |
| RegNetY-08Backbone=RegNetY-08, Param(M)=7.0, GFLOPS=5.82021.01 | 80.4 | 77.7 | 70.9 | 76.3 | |
| ResNext-50Backbone=ResNext-50, Param(M)=26.2, GFLOPS=25.02021.01 | 80.1 | 77.3 | 66.1 | 74.5 | |
| ResNet-50Backbone=ResNet-50, Param(M)=26.7, GFLOPS=25.02021.01 | 78.6 | 80 | 78.3 | 80 | |
| RegNetY-80Backbone=RegNetY-80, Param(M)=40.3, GFLOPS=34.42021.01 | 78.5 | 78.2 | 66.2 | 74.3 | |
| DenseNet-161Backbone=DenseNet-161, Param(M)=43.2, GFLOPS=43.62021.01 | 77.8 | 75.7 | 73 | 75.5 |