Comments (1)
I recommend utilizing our provided features to train your own model, which makes the performance comparison fair. Besides, we used MXNet with its provided ResNet152 model trained on ImageNet with 1k categories.
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Related Issues (20)
- Experiments on MSVD and MPII-MD HOT 1
- #10 More details about MSVD on zero-example video retrieval HOT 12
- 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
- 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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