Where do you apply DenseCRF to the score map?

[UdonDa]

Where do you apply DenseCRF to the score map?

[chengchunhsu]

Hi UdonDa,

Thanks for asking.

But for now, the post-processing (DenseCRF) part has not been included in the repository.
The DenseCRF code is based on Matlab and was developed by another author.
Unfortunately, I currently have no access to his server.

I will upload them next week (after I return from the NeurIPS conference).

Cheng-Chun

[UdonDa]

Thanks for replying.

You implement the CRF part by MATLAB, ok.
So, run_test function in [here] (https://github.com/chengchunhsu/WSIS_BBTP/blob/master/tools/train_net.py#L79)do not work now, right?

I think that It's easier to implement CRF by pydencecrf.

After you upload the part, I will try!

Please do your best NeurlPS.
Thanks.

[chengchunhsu]

Hi UdonDa,

Actually, the run_test function will evaluate the performance of the trained model "without" post-processing (DenseCRF).

If you have implemented the post-processing part in python.
You can let me know by opening an issue or commits.
Thanks!

Cheng-Chun

[sydney0zq]

Hi @UdonDa , what is your mask AP on VOC 2012 validation set.

We strictly follow the author's settings, however, we cannot reproduce the results.

Box AP:

AP25: 0.81
AP50: 0.74
AP70: 0.54
AP75: 0.46

Mask AP: (wo/ CRF)

AP25: 0.74
AP50: 0.44
AP70: 0.16
AP75: 0.11

Could you please share your Mask AP result? We have at least 9 points gap compared to the author's reported results.