Semantic Segmentation on Freiburg Forest (val)
89.27Trail IoUAdapNet++
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| AdapNet++input image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=28.1, Time (ms)=72.772018.08 | 89.27 | 89.41 | 91.43 | 93.01 | 52.32 | 83.09 | 90.75 | 4.84 | 5.37 | |
| AdapNetinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=24.4, Time (ms)=61.812018.08 | 88.99 | 88.99 | 91.18 | 92.89 | 48.8 | 82.17 | 90.67 | 4.89 | 5.42 | |
| DeepLab v2input image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=43.7, Time (ms)=128.92018.08 | 88.75 | 88.87 | 90.29 | 91.65 | 49.55 | 81.82 | 89.98 | 5.94 | 5.79 | |
| DeepLab v3input image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=58.16, Time (ms)=82.832018.08 | 88.62 | 88.84 | 90.55 | 91.75 | 51.61 | 82.28 | 90.08 | 5.21 | 5.82 | |
| DeconvNetinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=252, Time (ms)=168.542018.08 | 86.37 | 87.17 | 89.63 | 90.29 | 34.8 | 78.04 | 89.06 | 6.53 | 6.78 | |
| FastNetinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=21, Time (ms)=49.312018.08 | 85.7 | 87.53 | 90.23 | 90.73 | 43.76 | 79.67 | 88.18 | 6.09 | 5.72 | |
| ParseNetinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=20.5, Time (ms)=286.542018.08 | 85.67 | 87.33 | 89.63 | 89.17 | 43.08 | 78.97 | 87.65 | 6.34 | 6.01 | |
| FCN-8sinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=134, Time (ms)=101.992018.08 | 82.6 | 85.69 | 88.78 | 89.97 | 40.4 | 77.49 | 86.64 | 6.21 | 7.15 | |
| SegNetinput image dim=768 x 384, multiscale testing=false, left-right flips=false, Params (M)=29.4, Time (ms)=79.132018.08 | 82.12 | 84.99 | 88.64 | 89.9 | 27.23 | 74.58 | 86.24 | 6.77 | 6.98 |