Can I use referring_swin_base.yaml to reproduce RefCOCO, RefCOCO+, RefCOCOg results in the paper?

[yxchng]

by only modifying DATASETS.TRAIN and DATASETS.TEST

referring_swin_base.yaml

[changliu19]

Yes you can.

[yxchng]

@ntuLC I tried doing this and get the following results:

                              RefCOCO        |        RefCOCO+       |       RefCOCOg
​                     |  val  | testA​ | testB​ |  val ​ | testA​ | testB​ | val-U​ | testU​ | val-G​
ReLA (paper)        ​ | 73.82​ | 76.48​ | 70.18​ | 66.04​ | 71.02​ | 57.65​ | 65.00​ | 65.97​ | 62.70​
ReLA (reproduction)​  | 73.29​ | 76.06​ | 69.56​ | 64.65​ | 70.27​ | 56.70​ | 63.57​ | 65.06​ | 60.76​

which is quite a bit lower than the results published in the paper.

Just curious, from your experience, how stable are the results? Does they have large variance?

[Yeemkt]

by only modifying DATASETS.TRAIN and DATASETS.TEST

referring_swin_base.yaml

hi there, i also want to reproduce the three datasets .
I will appreciate it if you can tell me how to modify the yaml in details

[lcl-git-3d]

Hello，do you know how to reproduce the three datasets now? I don't know either. @Yeemkt

[lcl-git-3d]

Hello，I am sorry to bother you. I have just modified DATASETS.TRAIN and DATASETS.TEST in referring_R50.yaml, but the results is a little bad.Could you please tell me what changes you have made？ @yxchng @ntuLC @Yeemkt

[changliu19]

Hello，I am sorry to bother you. I have just modified DATASETS.TRAIN and DATASETS.TEST in referring_R50.yaml, but the results is a little bad.Could you please tell me what changes you have made？ @yxchng @ntuLC @Yeemkt

Hi,

• Are you using the provided R50 checkpoint for evaluating refcoco+? The provided checkpoints are trained on grefcoco only, so they are also only applicable for evaluation on gRefCOCO.
• The RES results reported in the paper are based on Swin-Base, so they are not comparable with results based on ResNet backbones.