Hi,Thanks for sharing your work.I tried to reproduce the results on the MSRVTT dataset and I found that the results were lower than the paper's results.The results of training the model under the official MSRVTT division method are as follows:
Epoch[19 / 50] LR: 5.163553898972419e-06
best performance on validation: 358.7625754527163
Then, Load model_best.pth, the results obtained on the test set are as follows:
write into: /VisualSearch/msrvtt10k/results/cv_tpami_2021/msrvtt10ktrain/msrvtt10k/runs_8/model_best.pth.tar
Hi,Thanks for sharing your work.I tried to reproduce the results on the MSRVTT dataset and I found that the results were lower than the paper's results.The results of training the model under the official MSRVTT division method are as follows: Epoch[19 / 50] LR: 5.163553898972419e-06
Early stopping happended.
best performance on validation: 358.7625754527163 Then, Load model_best.pth, the results obtained on the test set are as follows: write into: /VisualSearch/msrvtt10k/results/cv_tpami_2021/msrvtt10ktrain/msrvtt10k/runs_8/model_best.pth.tar
the results reported in the paper are as follows:
Could you give some tips about it? Many thanks