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@zhang-can Thanks for sharing the training code of Activitynet1.2. However, when I try to reproduce the training results of Activitynet1.2 (I use the feature from https://github.com/sujoyp/wtalc-pytorch/tree/master since the feature in CoLA repo needs verified), I just get mIoU(avg) around 3 with the configuration of branch anet1.2. It seems that the SniCo loss could not decrease at all. I also find that the maximum number of hard background and action are sometimes less that the number we set. (The non-zero elements in aness_region_inner and aness_region_outer are less than k_hard.) Is that normal?
By the way, I can reproduce the results of THUMOS14 easily. So the question is only occured on Activitynet1.2. Would you please check the released code or provide a checkpoint and training log to help us make the things right?
The text was updated successfully, but these errors were encountered:
@zhang-can Thanks for sharing the training code of Activitynet1.2. However, when I try to reproduce the training results of Activitynet1.2 (I use the feature from https://github.com/sujoyp/wtalc-pytorch/tree/master since the feature in CoLA repo needs verified), I just get mIoU(avg) around 3 with the configuration of branch anet1.2. It seems that the SniCo loss could not decrease at all. I also find that the maximum number of hard background and action are sometimes less that the number we set. (The non-zero elements in aness_region_inner and aness_region_outer are less than k_hard.) Is that normal?
By the way, I can reproduce the results of THUMOS14 easily. So the question is only occured on Activitynet1.2. Would you please check the released code or provide a checkpoint and training log to help us make the things right?
The text was updated successfully, but these errors were encountered: