Open giladsharir opened 6 years ago
Aha,I meet the same issue, particularly in Optical-Flow branch with only 83% acc.
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.
Thanks for ur reply, I'm looking forward to ur good news. @vra
Hi, could you tell me whether you have uploaded the corrected checkpoints or not? Thank you~ @vra
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?
I got 91% as the result, it is normal?
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.
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?