Either refer to for installation and dataset preparation or build a conda environment from orp_env.yml
Please see for the basic usage.
The results on DOTA test set are shown in the table below. More detailed results please see the paper.
Model | Backbone | data aug(HSV+Rotation) | mAP | model | log |
---|---|---|---|---|---|
OrientedReppoints | R-50 | 75.97 | model | log | |
OrientedReppoints | R-101 | 76.52 | model | log | |
OrientedReppoints | Swin-Tiny | √ | 78.11 | model | log |
- Place the data folder according to the notebook data folder setting or configure the data path
- Run the jupyter notebook FSL_OrientedRepPoints_Omniglot.ipynb
- Place the data folder according to the notebook data folder setting or configure the data path
- Run the jupyter notebook FSL_OrientedRepPoints_Custom.ipynb
Here are some great resources we benefit. We would espeicially thank the authors of: