Comments (2)
Hi, Thank you for your interest in our project. The features are from CMCS repo.
For ActivityNet dataset, the problem is that they only release the youtube-id. Some videos are no longer accessible on Youtube. Thus it is hard to achieve absolute fair comparison on ActivityNet v1.3 dataset. Also, some method re-extracted their features using different settings with I3D. I think you may want to refer to the TSP features for a fair comparison.
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Thanks for your response. My question is solved.
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Related Issues (20)
- Plan to release Ego4d trained model HOT 2
- How to reproduce results using i3d for ActivityNet? HOT 8
- Question about such strong I3D feature HOT 6
- How to improve? HOT 1
- Why are the reported results of TadTR on Thumos14 and ActivityNet quite different with those in TadTR paper? HOT 2
- about win_size HOT 2
- what is the h5py version?
- What is the test video number of Thumos14 dataset? HOT 2
- Visualization code HOT 3
- why set num_classes as 1 in ActivityNet dataset module? HOT 2
- About n_mha_win_size in eval. HOT 4
- Question about the choice of regression_range. HOT 3
- About extracting feature. HOT 2
- Question about regression ranges HOT 5
- import nms_1d_cpu ImportError HOT 4
- feat_offset HOT 2
- nms_1d_cpu HOT 2
- Measure GMACs/FLOPS HOT 2
- About thumos14 features using TSP HOT 6
- error HOT 2
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