The AcfNet test results on KITTI2015

[I'm LZ]

Helllo, I have tried to reproduce the results of Acfnet in the paper.
1- I use the scene-flow epoch20-long pretrained parameters for initialization.
2- I train the acfnet-uniform for 600epoch on 2 GTX 2080Ti with 2X2batch size, train the acfnet-adaptive for 275 epoches on 2 GXT2080Ti with 2X1 batch size (lilimited by the GPUmemory)

But the test results from official website are much poor than the results in the paper. I directly use the given config for kitti2015 in this repo.

What problem maybe cause this??? anyone can give an idea?

acfnet-uniform result:

Error	D1-bg	D1-fg	D1-all
All / All	1.96	4.92	2.45
All / Est	1.96	4.92	2.45
Noc / All	1.78	4.59	2.24
Noc / Est	1.78	4.59	2.24

acfnet-adaptive result:

Error	D1-bg	D1-fg	D1-all
All / All	2.04	4.08	2.38
All / Est	2.04	4.08	2.38
Noc / All	1.87	3.79	2.18
Noc / Est	1.87	3.79	2.18

the result in the paper:

ALL-D1-ALL 1.89
NOC-D1-ALL 1.72

[youmi]

Hi, @ziming-liu
1st, make sure you pull the latest code as we fixed a bug about 2 months ago.
2nd, make sure you use the same config and training schedule as we do because KITTI is kind of hard to get a good result. As you only have 2 GPUS, you can try our published config first and then try the same iterations as our training schedule.
3rd, you can try our released 'LocalSoftArgmin' code, as we found it gives a more stable result and sometimes maybe better.

Please tell me the result you have tried, and give more details, such as tensorboard and conf, disp map for analysing your problems.