Comments (3)
Hi @menghuaa . You can download the TSN features shared by Tianwei Lin here. But note that TSN features are somewhat weak. I strongly recommend you to use the TSP feature, which can be downloaded here.
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你好@menghuaa. 您可以在此处下载林天威分享的 TSN 功能。但请注意,TSN 功能有些薄弱。我强烈建议您使用 TSP 功能,可在此处下载。
Hello, RTD-Net also uses transformer to realize the generation of Temporal Action Proposal, but it mentioned that due to the slowness problem of video features, it will use the TEM module of BSN to generate the start and end probability of each location, and then multiply it with the corresponding video features to weaken the slowness problem. You use transformer to realize sequential action detection. Have you encountered the slowness problem of video feature? If you encounter it, how do you solve it?
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No. We do not need this trick.
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Related Issues (20)
- How to evaluate the FLOPS? HOT 2
- Regarding the features HOT 1
- No training/inference code or weights HOT 1
- code releasing date HOT 4
- E2E-TAD code HOT 2
- Reproducibility of ActivityNet HOT 4
- How to generate th14_i3d2s_ft_info.json? HOT 2
- Request code for ActivityNet HOT 6
- train on my dataset with miatakes HOT 2
- Modification of focal loss for it to works with mix-up augmentation?
- Code bugs in calculating lossess? HOT 1
- Undeterministic results HOT 6
- Redundant computation of reference point
- About th14_i3d2s_ft_info.json
- Missing datasets
- Reproduction on ActivityNet1.3 Dataset
- Inference on single video
- Actionness Regression not working
- One question about the loss backward of temporal_deform_attn HOT 4
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