GL-RG
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ylqi
The code of IJCAI22 paper "GL-RG: Global-Local Representation Granularity for Video Captioning".
Hello, Thank you for sharing your amazing work. I have some questions: 1- Can you shortly explain in steps not as code how to obtain the metric scores m( ˆ...
Thank you for your great work! There are different numbers of captions for every video in `MSVD` dataset, such as 29, 42……But I found that the shape of _msvd_train_evalscores.pkl_ is...
颜教授您好，不好意思，想请教一下 论文中对应三个encoder特征抽取层面的代码好像在项目中没有找到，可以放出来嘛？想了解一下 传统方式抽取特征的话 代码实现层面是怎么操作的，谢谢 
Hi! Thank you for your amazing work! I want to ask how can I generate the _msrvtt_train_evalscores.pkl_? I see the shape is [6513,20], so which caption is respectively corresponding to...
The CIDER metric file is determined. Isn't there a mismatch between index of metric and data of the random Ground_Truth is selected? And I plan to do more experiments. Could...
I remember the the standard split contains 1.2K training videos, 100 validation videos, and **_670_** test videos, so why you did not use the other 200 test videos? Thank u!
``` Traceback (most recent call last): File "test.py", line 130, in assert opt.feat_dims == test_loader.get_feat_dims() AssertionError ``` I did not make any change before this.
 Hello, I run your code and get the result shown in the picture. My result list reports the BLEU-1 but not report the BLEU-4. And the CIDEr score is...
