This is a FORK of LEOD (Label-Efficient Object Detection for Event Cameras) repository: (https://github.com/Wuziyi616/LEOD)
Paper: LEOD: Label-Efficient Object Detection for Event Cameras
This codebase builds upon RVT. Please refer to install.md for detailed instructions.
To preprocess data and create annotations, please refer to preprocess.md.
To reproduce the results in the paper, please refer to benchmark.md.
To evaluate or train LEOD or RVT you will need to download the required preprocessed datasets:
| FLW dataset | |
|---|---|
| pre-processed dataset | download |
You may also pre-process the dataset yourself by following the instructions.
| FLW Dataset | |
|---|---|
| pre-trained checkpoint | download |
If you have any questions about the code, please contact Tomas Sanchez Villaluenga tsvillaluenga@hotmail.com