Comments (12)
Sorry for the confusion. Indeed, we directly used the Dual encoding model in Table 1 without any finetune, so the model was trained in the training set (6,513 video clips) of MSRVTT. Besides, we evaluated the model on the test set (670 video clips) of MSVD.
from dual_encoding.
Thanks!After I read your other paper 《Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction》,I have some questions, and I wrote on danieljf24/w2vv#11
I really hope you can tell me more details.Thank you!
from dual_encoding.
I would like to ask you a question: in the MSVD data set, especially in the test phase, do you evaluate all sentences, or just randomly select 5 sentences from the MSVD for evaluation?
from dual_encoding.
On MSVD, we tested on the test set of 670 video clips, and using all the corresponding sentences.
It is worth noting that in order to evaluate the generalization ability of our proposed model, the results on MVSD were obtained using the model trained in the training set (6,513 video clips) of MSRVTT.
from dual_encoding.
In the previous version of our w2vv paper, in Table 5, we used all the corresponding sentences instead of randomly sampled 5 sentences for each test video ( Results using data partition from Xu et al. [40]). For the results using data partition from Otani et al. [24], we used 5 sentences for each test video provided by Otani et al, while all the training sentences. 1,200, 100 and 670 video clips for training, validation, and test.
from dual_encoding.
The MSVD data with extracted video features have been updated. https://github.com/danieljf24/dual_encoding#dual-encoding-on-msvd
from dual_encoding.
from dual_encoding.
I am sorry to bother you, can you share the entails of code in MSVD?
from dual_encoding.
Thank you!!
from dual_encoding.
谢谢!!
Can we communicate with each other? Because I'm also from China.
from dual_encoding.
from dual_encoding.
I am sorry to bother you, can you share the entails of code in MSVD?
The corresponding code has also been released.
from dual_encoding.
Related Issues (20)
- Experiments on MSVD and MPII-MD HOT 1
- A question about MPII-MD
- Error while training HOT 3
- torch.backends.cudnn.CuDNNError: 8: CUDNN_STATUS_EXECUTION_FAILED HOT 3
- The model is very sensitive to the batch size HOT 2
- Issue about dataset format HOT 2
- Evaluating performance on a single video
- Could this work do video to text task?
- Anyone run this code on python3? HOT 2
- Code for newly published TPAMI2021 version HOT 2
- Alternative to baidu for downloading the frame features.
- IP not active
- Training time on MSVD dataset
- Question about feature extraction method HOT 1
- about the testing result
- about the testing result HOT 1
- Seeking information for CNN model used on MSRVTT
- ./do_test_dual_encoding_msrvtt10ktest.sh: 没有那个文件或目录 HOT 4
- An error when perform script HOT 1
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from dual_encoding.