Reproduce results

[giladsharir]

Hi, I'm trying to reproduce the results reported in the paper (and this repository) with the I3D model trained with only RGB on UCF-101 (split 1) . When I run test.py with the checkpoint provided in this repository (finetuned on UCF-101 RGB), I get a score of 89.4 . The authors of this repository report 94.7 . Do you have any idea why is there a discrepancy in the scores?

[Catchher]

Aha，I meet the same issue, particularly in Optical-Flow branch with only 83% acc.

[vra]

Hi @giladsharir and @Catchher , Thanks for trying our code and I am sorry for the inconvenience. I guess we have uploaded wrong checkpoints and we are figuring it out. Thanks for you patience.

[Catchher]

Thanks for ur reply, I'm looking forward to ur good news. @vra

[tangshixiang]

Hi, could you tell me whether you have uploaded the corrected checkpoints or not? Thank you~ @vra

[sumeetssaurav]

Hi, I'm trying to reproduce the results reported in the paper (and this repository) with the I3D model trained with only RGB on UCF-101 (split 1) . When I run test.py with the checkpoint provided in this repository (finetuned on UCF-101 RGB), I get a score of 89.4 . The authors of this repository report 94.7 . Do you have any idea why is there a discrepancy in the scores?

[TaoXieSZ]

I got 91% as the result, it is normal?

[lanfeng4659]

Hi, I'm trying to reproduce the results reported in the paper (and this repository) with the I3D model trained with only RGB on UCF-101 (split 1) . When I run test.py with the checkpoint provided in this repository (finetuned on UCF-101 RGB), I get a score of 89.4 . The authors of this repository report 94.7 . Do you have any idea why is there a discrepancy in the scores?

have you settled the problem? I get the 91.5% scores using the shared model trained on the UCF101 RGB.