Bad results on COCO dataset

[zhangyuxuan321]

Sorry to bother u, when I reproduct on Voc, it's the same results on Voc datasets you gave in your paper. But when I reproduct your methods on the CoCo dataset, using the exactly same hyperparameters, the results are much lower than those in the paper. I have tried a lot of time, but it always does. I can't figure out that problem, could you please give me some advice?


Above is the shell script of PIFS* running on the strict incremental few shot setting.

[fcdl94]

Hey! The first thing that comes to my mind is the dataset. Have you correctly pre-processed the data as written in the README?

[zhangyuxuan321]

Hey! The first thing that comes to my mind is the dataset. Have you correctly pre-processed the data as written in the README?
I do pre-process the data according to the README, which is the make_annotation.py.
But I find there is two coco directories, one is COCO , another is COCO-stuff, I choose the COCO one

Is that a mistake? Thanks a lot for your quick reply and your great work!

[fcdl94]

It's hard to tell because it depends on how you named them while downloading and processing. Can you open an image and see if it has all the pixels belonging to stuff at class 0?

[fcdl94]

Anyway, yes, you need to use the file in the coco folder, not in coco stuff.

[zhangyuxuan321]

Thanks a lot, I figure out that problem.