Semantic Segmentation on Cityscapes (mIoU, Pix Acc, $\Delta_m$)
74.75mIoUOurs
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OursBackbone=SegNet, Parameter Count (#P.)=95.482024.06 | 74.75 | 93.39 | -10.08 | |
| Single-taskBackbone=SegNet, Parameter Count (#P.)=190.592024.06 | 74.36 | 93.22 | — | |
| CAGrad w/ ReconBackbone=SegNet, Parameter Count (#P.)=108.44, With Recon=true2024.06 | 74.22 | 93.1 | -7.38 | |
| PCGrad w/ ReconBackbone=SegNet, Parameter Count (#P.)=108.44, With Recon=true2024.06 | 74.18 | 93.14 | -14.92 | |
| Graddrop w/ ReconBackbone=SegNet, Parameter Count (#P.)=108.44, With Recon=true2024.06 | 74.17 | 93.11 | -10.69 | |
| GDBackbone=SegNet, Parameter Count (#P.)=95.43, With Recon=false2024.06 | 74.13 | 93.13 | -79.32 | |
| GraddropBackbone=SegNet, Parameter Count (#P.)=95.43, With Recon=false2024.06 | 74.08 | 93.08 | -80.48 | |
| Cross-StitchBackbone=SegNet, Parameter Count (#P.)=190.592024.06 | 74.05 | 93.17 | -79.04 | |
| PCGradBackbone=SegNet, Parameter Count (#P.)=95.43, With Recon=false2024.06 | 73.98 | 93.08 | -78.39 | |
| CAGradBackbone=SegNet, Parameter Count (#P.)=95.43, With Recon=false2024.06 | 73.81 | 93.02 | -53.81 | |
| RotoGradBackbone=SegNet, Parameter Count (#P.)=103.432024.06 | 73.38 | 92.97 | -47.81 | |
| GD w/ ReconBackbone=SegNet, Parameter Count (#P.)=108.44, With Recon=true2024.06 | 71.17 | 93.21 | -12.63 | |
| MGDA w/ ReconBackbone=SegNet, Parameter Count (#P.)=108.44, With Recon=true2024.06 | 71.01 | 92.17 | -4.46 | |
| MGDABackbone=SegNet, Parameter Count (#P.)=95.43, With Recon=false2024.06 | 70.74 | 92.19 | -16.22 |