Semantic Segmentation on MSRS Infrared (test)
76.6mIoUUNIV(Full)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UNIV(Full)Pre-train Dataset=IN1K+MVIP, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 76.6 | 85.1 | |
| UNIV(LoRA)Pre-train Dataset=IN1K+MVIP, Total Params(M)=88.7, Pre-train Params(M)=1.82025.09 | 76 | 84.6 | |
| MCMAEPre-train Dataset=IN1K, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 74.9 | 83.8 | |
| InfMAEPre-train Dataset=Inf30, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 74.3 | 82.5 | |
| MCMAEPre-train Dataset=Inf30, Total Params(M)=88.7, Pre-train Params(M)=88.72025.09 | 72.1 | 79.8 | |
| Vanila MAEPre-train Dataset=Inf30, Total Params(M)=85.8, Pre-train Params(M)=85.82025.09 | 71.4 | 78.2 | |
| ISANetPre-train Dataset=None, Total Params(M)=25.6, Pre-train Params(M)=-2025.09 | 67.8 | 74.9 | |
| UperNetPre-train Dataset=None, Total Params(M)=25.6, Pre-train Params(M)=-2025.09 | 65.6 | 74.7 | |
| DeeplabV3+Pre-train Dataset=None, Total Params(M)=25.6, Pre-train Params(M)=-2025.09 | 65.2 | 73.8 | |
| FPNPre-train Dataset=None, Total Params(M)=25.6, Pre-train Params(M)=-2025.09 | 62.9 | 71.4 | |
| InfMAEPre-train Dataset=None, Total Params(M)=88.7, Pre-train Params(M)=-2025.09 | 61.1 | 61.1 |