IndexNet (ICCV'2019)
@inproceedings{hao2019indexnet,
title={Indices Matter: Learning to Index for Deep Image Matting},
author={Lu, Hao and Dai, Yutong and Shen, Chunhua and Xu, Songcen},
booktitle={Proc. IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019}
}| Method | SAD | MSE | GRAD | CONN | Download |
|---|---|---|---|---|---|
| M2O DINs (paper) | 45.8 | 0.013 | 25.9 | 43.7 | - |
| M2O DINs (our) | 45.6 | 0.012 | 25.5 | 44.8 | model | log |
The performance of training (best performance) with different random seeds diverges in a large range. You may need to run several experiments for each setting to obtain the above performance.
More result
| Method | SAD | MSE | GRAD | CONN | Download |
|---|---|---|---|---|---|
| M2O DINs (with DIM pipeline) | 50.1 | 0.016 | 30.8 | 49.5 | model | log |