Comments (1)
While extracting the features using an I3D network with resnet50 backbone, which pretrained model did you use and did you finetune it with the dataset before extracting features?
You can simply use this repo https://github.com/Tushar-N/pytorch-resnet3d.
I did not finetune it with the dataset.
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Related Issues (20)
- feature extraction
- Results can't be reproduce for Sanghaitech
- Feature Extraction
- Generation of MatLab Labels
- AUC for UCF-Crime is Too low and Can't reproducible. HOT 1
- Can't download UCF_Crime test dataset
- Customized dataset HOT 3
- parameter setting for UCSDped2 dataset HOT 3
- some questions about extracting I3D features
- xd-violence
- How to implement inference code? HOT 1
- Where do I find dir test_frame_mask, or make it? HOT 1
- how to make ground truth file and list file for shanghai tech dataset
- UCSD-Ped2 实验设置
- Custom .mat files HOT 3
- Can not reproduce the provided I3D features extracted from UCF-Crime on RTFM Github
- The UCF-Crime checkpoints link is disabled HOT 2
- Only ShanghaiTech features and checkpoint for ShanghaiTech can be used in the link
- UCF-Crime train I3d features on Google drive 下载失败—已被禁止 HOT 1
- Feature extraction results did not meet expectations
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