Semantic Segmentation on PartNet (val)
50.8mIoUpseudo grid
Evaluation Results
| Method | Links | |
|---|---|---|
| pseudo gridparam=18.5M, FLOP=8.5G2020.07 | 50.8 | |
| PosPool*param=18.5M, FLOP=6.8G2020.07 | 50.6 | |
| adapt weightsparam=18.5M, FLOP=7.2G2020.07 | 50.1 | |
| PosPoolparam=18.5M, FLOP=6.8G2020.07 | 50 | |
| point-wise MLPparam=25.6M, FLOP=9.1G2020.07 | 48.1 | |
| PosPool* (S)param=1.1M, FLOP=0.5G, Model Scale=Small2020.07 | 46.1 | |
| baseline† (MAX)param=18.5M, FLOP=6.7G, Pooling strategy=MAX, Equation=72020.07 | 45.4 | |
| point-wise MLP (S)param=1.6M, FLOP=0.7G, Model Scale=Small2020.07 | 45.3 | |
| PosPool (S)param=1.1M, FLOP=0.5G, Model Scale=Small2020.07 | 44.6 | |
| baseline† (AVG)param=18.5M, FLOP=6.7G, Pooling strategy=AVG, Equation=72020.07 | 44.2 | |
| pseudo grid (S)param=1.2M, FLOP=0.9G, Model Scale=Small2020.07 | 44.2 | |
| adapt weights (S)param=1.2M, FLOP=0.5G, Model Scale=Small2020.07 | 44.1 | |
| baseline*param=18.5M, FLOP=6.7G, Equation=62020.07 | 42.5 | |
| baseline† (MAX, S)param=1.1M, FLOP=0.4G, Pooling strategy=MAX, Model Scale=Small, Equation=72020.07 | 39.8 | |
| baseline† (AVG, S)param=1.1M, FLOP=0.4G, Pooling strategy=AVG, Model Scale=Small, Equation=72020.07 | 39.5 |