| # TadTR | |
| > [End-to-end Temporal Action Detection with Transformer](https://arxiv.org/abs/2106.10271) | |
| > Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Shiwei Zhang, Song Bai, Xiang Bai | |
| <!-- [ALGORITHM] --> | |
| > [An Empirical Study of End-to-End Temporal Action Detection](https://arxiv.org/abs/2204.02932) | |
| > Xiaolong Liu, Song Bai, Xiang Bai | |
| <!-- [ALGORITHM] --> | |
| ## Results and Models | |
| **THUMOS-14** | |
| | Feature | mAP@0.3 | mAP@0.4 | mAP@0.5 | mAP@0.6 | mAP@0.7 | ave. mAP | Config | Download | | |
| | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :---------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | | |
| | I3D | 71.90 | 67.29 | 59.00 | 48.34 | 34.61 | 56.23 | [config](thumos_i3d.py) | [model](https://drive.google.com/file/d/1XIx_Xu0Xv836YZzO7MRfhDSlA8si48hU/view?usp=sharing) \| [log](https://drive.google.com/file/d/1vgFQZhZLatMgPfaW6BBa96s02zRud7zj/view?usp=sharing) | | |
| | Backbone | mAP@0.3 | mAP@0.4 | mAP@0.5 | mAP@0.6 | mAP@0.7 | ave. mAP | Config | Download | | |
| | :------------: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :----------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | | |
| | E2E-SlowFasR50 | 64.47 | 59.49 | 53.11 | 44.08 | 33.50 | 50.93 | [config](e2e_thumos_tadtr_slowfast50_sw128s6.py) | [model](https://drive.google.com/file/d/1vxZauOM_LgRMMpYJefK_FUg3gpHBIz9k/view?usp=sharing) \| [log](https://drive.google.com/file/d/1CWcfqxALPPNVHoud8g9MnNRa14lDxh0o/view?usp=sharing) | | |
| ## Train | |
| You can use the following command to train a model. | |
| ```shell | |
| torchrun --nnodes=1 --nproc_per_node=1 --rdzv_backend=c10d --rdzv_endpoint=localhost:0 tools/train.py ${CONFIG_FILE} [optional arguments] | |
| ``` | |
| Example: train TadTR on THUMOS dataset. | |
| ```shell | |
| torchrun --nnodes=1 --nproc_per_node=1 --rdzv_backend=c10d --rdzv_endpoint=localhost:0 tools/train.py configs/tadtr/thumos_i3d.py | |
| ``` | |
| For more details, you can refer to the Training part in the [Usage](../../docs/en/usage.md). | |
| ## Test | |
| You can use the following command to test a model. | |
| ```shell | |
| torchrun --nnodes=1 --nproc_per_node=1 --rdzv_backend=c10d --rdzv_endpoint=localhost:0 tools/test.py ${CONFIG_FILE} --checkpoint ${CHECKPOINT_FILE} [optional arguments] | |
| ``` | |
| Example: test TadTR on THUMOS dataset. | |
| ```shell | |
| torchrun --nnodes=1 --nproc_per_node=1 --rdzv_backend=c10d --rdzv_endpoint=localhost:0 tools/test.py configs/tadtr/thumos_i3d.py --checkpoint exps/thumos/tridet_i3d/gpu1_id0/checkpoint/epoch_14.pth | |
| ``` | |
| For more details, you can refer to the Test part in the [Usage](../../docs/en/usage.md). | |
| ## Citation | |
| ```latex | |
| @article{liu2022end, | |
| title={End-to-end temporal action detection with transformer}, | |
| author={Liu, Xiaolong and Wang, Qimeng and Hu, Yao and Tang, Xu and Zhang, Shiwei and Bai, Song and Bai, Xiang}, | |
| journal={IEEE Transactions on Image Processing}, | |
| volume={31}, | |
| pages={5427--5441}, | |
| year={2022}, | |
| publisher={IEEE} | |
| } | |
| @inproceedings{liu2022empirical, | |
| title={An empirical study of end-to-end temporal action detection}, | |
| author={Liu, Xiaolong and Bai, Song and Bai, Xiang}, | |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | |
| pages={20010--20019}, | |
| year={2022} | |
| } | |
| ``` |